Upload folder using huggingface_hub

README.md

@@ -0,0 +1,202 @@
+---
+base_model: openai-community/gpt2-xl
+library_name: peft
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.13.2

adapter_config.json

@@ -0,0 +1,31 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": {
+    "base_model_class": "GPT2LMHeadModel",
+    "parent_library": "transformers.models.gpt2.modeling_gpt2"
+  },
+  "base_model_name_or_path": "openai-community/gpt2-xl",
+  "bias": "none",
+  "fan_in_fan_out": true,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_dropout": 0.0,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 64,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "c_attn"
+  ],
+  "task_type": null,
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e8d23e51c67d9d19b1e396f06f3e0db43a3529b9ca795a710021e5da6f6dffb0
+size 78655768

checkpoint-16500/README.md

@@ -0,0 +1,202 @@
+---
+base_model: openai-community/gpt2-xl
+library_name: peft
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.13.2

checkpoint-16500/adapter_config.json

@@ -0,0 +1,31 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": {
+    "base_model_class": "GPT2LMHeadModel",
+    "parent_library": "transformers.models.gpt2.modeling_gpt2"
+  },
+  "base_model_name_or_path": "openai-community/gpt2-xl",
+  "bias": "none",
+  "fan_in_fan_out": true,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_dropout": 0.0,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 64,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "c_attn"
+  ],
+  "task_type": null,
+  "use_dora": false,
+  "use_rslora": false
+}

checkpoint-16500/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:be85ee1f07e74e03abd64703588b1f4f73de745d5c35e197185499cb3145545e
+size 78655768

checkpoint-16500/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e4b33a5caccfa386046487dc7d812eb957eb2f3892127cec1cb0a625128a2de9
+size 157367674

checkpoint-16500/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6b77e49e2ea218710d6329ade602582f0a83a0a3dc58224874c3d2d9a27ecffe
+size 14244

checkpoint-16500/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b54002951b025303a2c351b8dac03b9398d42dd81d718708252fb7b98a301240
+size 1064

checkpoint-16500/special_tokens_map.json

@@ -0,0 +1,24 @@
+{
+  "bos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<|endoftext|>",
+  "unk_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

checkpoint-16500/tokenizer_config.json

@@ -0,0 +1,22 @@
+{
+  "add_bos_token": false,
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "50256": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<|endoftext|>",
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "<|endoftext|>",
+  "errors": "replace",
+  "model_max_length": 1024,
+  "pad_token": "<|endoftext|>",
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": "<|endoftext|>"
+}

checkpoint-16500/trainer_state.json

@@ -0,0 +1,283 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 2.64,
+  "eval_steps": 1875,
+  "global_step": 16500,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.08,
+      "learning_rate": 5.330490405117271e-05,
+      "loss": 4.544,
+      "step": 500
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 9.965192005389625e-05,
+      "loss": 3.54,
+      "step": 1000
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 9.684482371434989e-05,
+      "loss": 3.54,
+      "step": 1500
+    },
+    {
+      "epoch": 0.3,
+      "eval_loss": 3.5400006771087646,
+      "eval_runtime": 36.4256,
+      "eval_samples_per_second": 54.906,
+      "eval_steps_per_second": 3.432,
+      "step": 1875
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 9.40377273748035e-05,
+      "loss": 3.54,
+      "step": 2000
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 9.123063103525713e-05,
+      "loss": 3.54,
+      "step": 2500
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 8.842353469571077e-05,
+      "loss": 3.54,
+      "step": 3000
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.561643835616438e-05,
+      "loss": 3.54,
+      "step": 3500
+    },
+    {
+      "epoch": 0.6,
+      "eval_loss": 3.5400006771087646,
+      "eval_runtime": 36.4006,
+      "eval_samples_per_second": 54.944,
+      "eval_steps_per_second": 3.434,
+      "step": 3750
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 8.280934201661802e-05,
+      "loss": 3.54,
+      "step": 4000
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 8.000224567707165e-05,
+      "loss": 3.54,
+      "step": 4500
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 7.719514933752526e-05,
+      "loss": 3.54,
+      "step": 5000
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.43880529979789e-05,
+      "loss": 3.54,
+      "step": 5500
+    },
+    {
+      "epoch": 0.9,
+      "eval_loss": 3.5400006771087646,
+      "eval_runtime": 36.4168,
+      "eval_samples_per_second": 54.92,
+      "eval_steps_per_second": 3.432,
+      "step": 5625
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.158095665843251e-05,
+      "loss": 3.54,
+      "step": 6000
+    },
+    {
+      "epoch": 1.04,
+      "learning_rate": 6.877386031888615e-05,
+      "loss": 3.54,
+      "step": 6500
+    },
+    {
+      "epoch": 1.12,
+      "learning_rate": 6.596676397933978e-05,
+      "loss": 3.54,
+      "step": 7000
+    },
+    {
+      "epoch": 1.2,
+      "learning_rate": 6.31596676397934e-05,
+      "loss": 3.54,
+      "step": 7500
+    },
+    {
+      "epoch": 1.2,
+      "eval_loss": 3.5400006771087646,
+      "eval_runtime": 36.427,
+      "eval_samples_per_second": 54.904,
+      "eval_steps_per_second": 3.432,
+      "step": 7500
+    },
+    {
+      "epoch": 1.28,
+      "learning_rate": 6.0352571300247026e-05,
+      "loss": 3.54,
+      "step": 8000
+    },
+    {
+      "epoch": 1.36,
+      "learning_rate": 5.754547496070065e-05,
+      "loss": 3.54,
+      "step": 8500
+    },
+    {
+      "epoch": 1.44,
+      "learning_rate": 5.473837862115428e-05,
+      "loss": 3.54,
+      "step": 9000
+    },
+    {
+      "epoch": 1.5,
+      "eval_loss": 3.5400006771087646,
+      "eval_runtime": 36.4308,
+      "eval_samples_per_second": 54.899,
+      "eval_steps_per_second": 3.431,
+      "step": 9375
+    },
+    {
+      "epoch": 1.52,
+      "learning_rate": 5.193128228160791e-05,
+      "loss": 3.54,
+      "step": 9500
+    },
+    {
+      "epoch": 1.6,
+      "learning_rate": 4.912418594206153e-05,
+      "loss": 3.54,
+      "step": 10000
+    },
+    {
+      "epoch": 1.68,
+      "learning_rate": 4.631708960251516e-05,
+      "loss": 3.54,
+      "step": 10500
+    },
+    {
+      "epoch": 1.76,
+      "learning_rate": 4.350999326296879e-05,
+      "loss": 3.54,
+      "step": 11000
+    },
+    {
+      "epoch": 1.8,
+      "eval_loss": 3.5400006771087646,
+      "eval_runtime": 36.4709,
+      "eval_samples_per_second": 54.838,
+      "eval_steps_per_second": 3.427,
+      "step": 11250
+    },
+    {
+      "epoch": 1.84,
+      "learning_rate": 4.070289692342241e-05,
+      "loss": 3.54,
+      "step": 11500
+    },
+    {
+      "epoch": 1.92,
+      "learning_rate": 3.789580058387604e-05,
+      "loss": 3.54,
+      "step": 12000
+    },
+    {
+      "epoch": 2.0,
+      "learning_rate": 3.508870424432967e-05,
+      "loss": 3.54,
+      "step": 12500
+    },
+    {
+      "epoch": 2.08,
+      "learning_rate": 3.228160790478329e-05,
+      "loss": 3.54,
+      "step": 13000
+    },
+    {
+      "epoch": 2.1,
+      "eval_loss": 3.5400006771087646,
+      "eval_runtime": 36.4281,
+      "eval_samples_per_second": 54.903,
+      "eval_steps_per_second": 3.431,
+      "step": 13125
+    },
+    {
+      "epoch": 2.16,
+      "learning_rate": 2.9474511565236924e-05,
+      "loss": 3.54,
+      "step": 13500
+    },
+    {
+      "epoch": 2.24,
+      "learning_rate": 2.6667415225690546e-05,
+      "loss": 3.54,
+      "step": 14000
+    },
+    {
+      "epoch": 2.32,
+      "learning_rate": 2.3860318886144174e-05,
+      "loss": 3.54,
+      "step": 14500
+    },
+    {
+      "epoch": 2.4,
+      "learning_rate": 2.10532225465978e-05,
+      "loss": 3.54,
+      "step": 15000
+    },
+    {
+      "epoch": 2.4,
+      "eval_loss": 3.5400006771087646,
+      "eval_runtime": 36.434,
+      "eval_samples_per_second": 54.894,
+      "eval_steps_per_second": 3.431,
+      "step": 15000
+    },
+    {
+      "epoch": 2.48,
+      "learning_rate": 1.8246126207051426e-05,
+      "loss": 3.54,
+      "step": 15500
+    },
+    {
+      "epoch": 2.56,
+      "learning_rate": 1.5439029867505054e-05,
+      "loss": 3.54,
+      "step": 16000
+    },
+    {
+      "epoch": 2.64,
+      "learning_rate": 1.263193352795868e-05,
+      "loss": 3.54,
+      "step": 16500
+    }
+  ],
+  "logging_steps": 500,
+  "max_steps": 18750,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 3,
+  "save_steps": 500,
+  "total_flos": 3.031593320448e+17,
+  "train_batch_size": 16,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-16500/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b08fb3b05a69da073efe961582b27c1826fb55f7847f9dd266326d273ed3d46c
+size 4728

checkpoint-17000/README.md

@@ -0,0 +1,202 @@
+---
+base_model: openai-community/gpt2-xl
+library_name: peft
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.13.2

checkpoint-17000/adapter_config.json

@@ -0,0 +1,31 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": {
+    "base_model_class": "GPT2LMHeadModel",
+    "parent_library": "transformers.models.gpt2.modeling_gpt2"
+  },
+  "base_model_name_or_path": "openai-community/gpt2-xl",
+  "bias": "none",
+  "fan_in_fan_out": true,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_dropout": 0.0,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 64,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "c_attn"
+  ],
+  "task_type": null,
+  "use_dora": false,
+  "use_rslora": false
+}

checkpoint-17000/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:12eb4b5caefabcb3d9726e54e1aa687bf1326dd904969eaafde353754f49fde9
+size 78655768

checkpoint-17000/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:44c36817a27fb336cd462ff33f5243bdc84cc7e7765b5bc684b5cdd0c94cc64f
+size 157367674

checkpoint-17000/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2adc83e1cd9810b00331eb9a119ae47d5c1c567b3968c8624001ee384f540496
+size 14244

checkpoint-17000/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8f5cf85381c6bbf6b2659e0355d17cf99551990b8d2ef972ff32ff37cd97993f
+size 1064

checkpoint-17000/special_tokens_map.json

@@ -0,0 +1,24 @@
+{
+  "bos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<|endoftext|>",
+  "unk_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

checkpoint-17000/tokenizer_config.json

@@ -0,0 +1,22 @@
+{
+  "add_bos_token": false,
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "50256": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<|endoftext|>",
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "<|endoftext|>",
+  "errors": "replace",
+  "model_max_length": 1024,
+  "pad_token": "<|endoftext|>",
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": "<|endoftext|>"
+}

checkpoint-17000/trainer_state.json

@@ -0,0 +1,297 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 2.7199999999999998,
+  "eval_steps": 1875,
+  "global_step": 17000,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.08,
+      "learning_rate": 5.330490405117271e-05,
+      "loss": 4.544,
+      "step": 500
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 9.965192005389625e-05,
+      "loss": 3.54,
+      "step": 1000
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 9.684482371434989e-05,
+      "loss": 3.54,
+      "step": 1500
+    },
+    {
+      "epoch": 0.3,
+      "eval_loss": 3.5400006771087646,
+      "eval_runtime": 36.4256,
+      "eval_samples_per_second": 54.906,
+      "eval_steps_per_second": 3.432,
+      "step": 1875
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 9.40377273748035e-05,
+      "loss": 3.54,
+      "step": 2000
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 9.123063103525713e-05,
+      "loss": 3.54,
+      "step": 2500
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 8.842353469571077e-05,
+      "loss": 3.54,
+      "step": 3000
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.561643835616438e-05,
+      "loss": 3.54,
+      "step": 3500
+    },
+    {
+      "epoch": 0.6,
+      "eval_loss": 3.5400006771087646,
+      "eval_runtime": 36.4006,
+      "eval_samples_per_second": 54.944,
+      "eval_steps_per_second": 3.434,
+      "step": 3750
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 8.280934201661802e-05,
+      "loss": 3.54,
+      "step": 4000
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 8.000224567707165e-05,
+      "loss": 3.54,
+      "step": 4500
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 7.719514933752526e-05,
+      "loss": 3.54,
+      "step": 5000
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.43880529979789e-05,
+      "loss": 3.54,
+      "step": 5500
+    },
+    {
+      "epoch": 0.9,
+      "eval_loss": 3.5400006771087646,
+      "eval_runtime": 36.4168,
+      "eval_samples_per_second": 54.92,
+      "eval_steps_per_second": 3.432,
+      "step": 5625
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.158095665843251e-05,
+      "loss": 3.54,
+      "step": 6000
+    },
+    {
+      "epoch": 1.04,
+      "learning_rate": 6.877386031888615e-05,
+      "loss": 3.54,
+      "step": 6500
+    },
+    {
+      "epoch": 1.12,
+      "learning_rate": 6.596676397933978e-05,
+      "loss": 3.54,
+      "step": 7000
+    },
+    {
+      "epoch": 1.2,
+      "learning_rate": 6.31596676397934e-05,
+      "loss": 3.54,
+      "step": 7500
+    },
+    {
+      "epoch": 1.2,
+      "eval_loss": 3.5400006771087646,
+      "eval_runtime": 36.427,
+      "eval_samples_per_second": 54.904,
+      "eval_steps_per_second": 3.432,
+      "step": 7500
+    },
+    {
+      "epoch": 1.28,
+      "learning_rate": 6.0352571300247026e-05,
+      "loss": 3.54,
+      "step": 8000
+    },
+    {
+      "epoch": 1.36,
+      "learning_rate": 5.754547496070065e-05,
+      "loss": 3.54,
+      "step": 8500
+    },
+    {
+      "epoch": 1.44,
+      "learning_rate": 5.473837862115428e-05,
+      "loss": 3.54,
+      "step": 9000
+    },
+    {
+      "epoch": 1.5,
+      "eval_loss": 3.5400006771087646,
+      "eval_runtime": 36.4308,
+      "eval_samples_per_second": 54.899,
+      "eval_steps_per_second": 3.431,
+      "step": 9375
+    },
+    {
+      "epoch": 1.52,
+      "learning_rate": 5.193128228160791e-05,
+      "loss": 3.54,
+      "step": 9500
+    },
+    {
+      "epoch": 1.6,
+      "learning_rate": 4.912418594206153e-05,
+      "loss": 3.54,
+      "step": 10000
+    },
+    {
+      "epoch": 1.68,
+      "learning_rate": 4.631708960251516e-05,
+      "loss": 3.54,
+      "step": 10500
+    },
+    {
+      "epoch": 1.76,
+      "learning_rate": 4.350999326296879e-05,
+      "loss": 3.54,
+      "step": 11000
+    },
+    {
+      "epoch": 1.8,
+      "eval_loss": 3.5400006771087646,
+      "eval_runtime": 36.4709,
+      "eval_samples_per_second": 54.838,
+      "eval_steps_per_second": 3.427,
+      "step": 11250
+    },
+    {
+      "epoch": 1.84,
+      "learning_rate": 4.070289692342241e-05,
+      "loss": 3.54,
+      "step": 11500
+    },
+    {
+      "epoch": 1.92,
+      "learning_rate": 3.789580058387604e-05,
+      "loss": 3.54,
+      "step": 12000
+    },
+    {
+      "epoch": 2.0,
+      "learning_rate": 3.508870424432967e-05,
+      "loss": 3.54,
+      "step": 12500
+    },
+    {
+      "epoch": 2.08,
+      "learning_rate": 3.228160790478329e-05,
+      "loss": 3.54,
+      "step": 13000
+    },
+    {
+      "epoch": 2.1,
+      "eval_loss": 3.5400006771087646,
+      "eval_runtime": 36.4281,
+      "eval_samples_per_second": 54.903,
+      "eval_steps_per_second": 3.431,
+      "step": 13125
+    },
+    {
+      "epoch": 2.16,
+      "learning_rate": 2.9474511565236924e-05,
+      "loss": 3.54,
+      "step": 13500
+    },
+    {
+      "epoch": 2.24,
+      "learning_rate": 2.6667415225690546e-05,
+      "loss": 3.54,
+      "step": 14000
+    },
+    {
+      "epoch": 2.32,
+      "learning_rate": 2.3860318886144174e-05,
+      "loss": 3.54,
+      "step": 14500
+    },
+    {
+      "epoch": 2.4,
+      "learning_rate": 2.10532225465978e-05,
+      "loss": 3.54,
+      "step": 15000
+    },
+    {
+      "epoch": 2.4,
+      "eval_loss": 3.5400006771087646,
+      "eval_runtime": 36.434,
+      "eval_samples_per_second": 54.894,
+      "eval_steps_per_second": 3.431,
+      "step": 15000
+    },
+    {
+      "epoch": 2.48,
+      "learning_rate": 1.8246126207051426e-05,
+      "loss": 3.54,
+      "step": 15500
+    },
+    {
+      "epoch": 2.56,
+      "learning_rate": 1.5439029867505054e-05,
+      "loss": 3.54,
+      "step": 16000
+    },
+    {
+      "epoch": 2.64,
+      "learning_rate": 1.263193352795868e-05,
+      "loss": 3.54,
+      "step": 16500
+    },
+    {
+      "epoch": 2.7,
+      "eval_loss": 3.5400006771087646,
+      "eval_runtime": 36.4148,
+      "eval_samples_per_second": 54.923,
+      "eval_steps_per_second": 3.433,
+      "step": 16875
+    },
+    {
+      "epoch": 2.72,
+      "learning_rate": 9.824837188412307e-06,
+      "loss": 3.54,
+      "step": 17000
+    }
+  ],
+  "logging_steps": 500,
+  "max_steps": 18750,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 3,
+  "save_steps": 500,
+  "total_flos": 3.123459784704e+17,
+  "train_batch_size": 16,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-17000/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b08fb3b05a69da073efe961582b27c1826fb55f7847f9dd266326d273ed3d46c
+size 4728

checkpoint-17500/README.md

@@ -0,0 +1,202 @@
+---
+base_model: openai-community/gpt2-xl
+library_name: peft
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.13.2

checkpoint-17500/adapter_config.json

@@ -0,0 +1,31 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": {
+    "base_model_class": "GPT2LMHeadModel",
+    "parent_library": "transformers.models.gpt2.modeling_gpt2"
+  },
+  "base_model_name_or_path": "openai-community/gpt2-xl",
+  "bias": "none",
+  "fan_in_fan_out": true,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_dropout": 0.0,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 64,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "c_attn"
+  ],
+  "task_type": null,
+  "use_dora": false,
+  "use_rslora": false
+}

checkpoint-17500/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0a6de42eba5467e6abfe19199b07c33e05bb2e50c26e5a937c4b6b5c14967cec
+size 78655768

checkpoint-17500/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:630e9a3802b01505e0713c799a93783f94ee4419be5b7b715cac8c43b1b93866
+size 157367674

checkpoint-17500/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b316926eafa5d9561a6ea670bac4b6a7912cb7560c13cbf0b2ac7a2eecec0bfa
+size 14244

checkpoint-17500/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f62a60b5666af89df281b88a2990606fc438af735eb964b1589d1a5ea3e4f03d
+size 1064

checkpoint-17500/special_tokens_map.json

@@ -0,0 +1,24 @@
+{
+  "bos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<|endoftext|>",
+  "unk_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

checkpoint-17500/tokenizer_config.json

@@ -0,0 +1,22 @@
+{
+  "add_bos_token": false,
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "50256": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<|endoftext|>",
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "<|endoftext|>",
+  "errors": "replace",
+  "model_max_length": 1024,
+  "pad_token": "<|endoftext|>",
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": "<|endoftext|>"
+}

checkpoint-17500/trainer_state.json

@@ -0,0 +1,303 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 2.8,
+  "eval_steps": 1875,
+  "global_step": 17500,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.08,
+      "learning_rate": 5.330490405117271e-05,
+      "loss": 4.544,
+      "step": 500
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 9.965192005389625e-05,
+      "loss": 3.54,
+      "step": 1000
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 9.684482371434989e-05,
+      "loss": 3.54,
+      "step": 1500
+    },
+    {
+      "epoch": 0.3,
+      "eval_loss": 3.5400006771087646,
+      "eval_runtime": 36.4256,
+      "eval_samples_per_second": 54.906,
+      "eval_steps_per_second": 3.432,
+      "step": 1875
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 9.40377273748035e-05,
+      "loss": 3.54,
+      "step": 2000
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 9.123063103525713e-05,
+      "loss": 3.54,
+      "step": 2500
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 8.842353469571077e-05,
+      "loss": 3.54,
+      "step": 3000
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.561643835616438e-05,
+      "loss": 3.54,
+      "step": 3500
+    },
+    {
+      "epoch": 0.6,
+      "eval_loss": 3.5400006771087646,
+      "eval_runtime": 36.4006,
+      "eval_samples_per_second": 54.944,
+      "eval_steps_per_second": 3.434,
+      "step": 3750
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 8.280934201661802e-05,
+      "loss": 3.54,
+      "step": 4000
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 8.000224567707165e-05,
+      "loss": 3.54,
+      "step": 4500
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 7.719514933752526e-05,
+      "loss": 3.54,
+      "step": 5000
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.43880529979789e-05,
+      "loss": 3.54,
+      "step": 5500
+    },
+    {
+      "epoch": 0.9,
+      "eval_loss": 3.5400006771087646,
+      "eval_runtime": 36.4168,
+      "eval_samples_per_second": 54.92,
+      "eval_steps_per_second": 3.432,
+      "step": 5625
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.158095665843251e-05,
+      "loss": 3.54,
+      "step": 6000
+    },
+    {
+      "epoch": 1.04,
+      "learning_rate": 6.877386031888615e-05,
+      "loss": 3.54,
+      "step": 6500
+    },
+    {
+      "epoch": 1.12,
+      "learning_rate": 6.596676397933978e-05,
+      "loss": 3.54,
+      "step": 7000
+    },
+    {
+      "epoch": 1.2,
+      "learning_rate": 6.31596676397934e-05,
+      "loss": 3.54,
+      "step": 7500
+    },
+    {
+      "epoch": 1.2,
+      "eval_loss": 3.5400006771087646,
+      "eval_runtime": 36.427,
+      "eval_samples_per_second": 54.904,
+      "eval_steps_per_second": 3.432,
+      "step": 7500
+    },
+    {
+      "epoch": 1.28,
+      "learning_rate": 6.0352571300247026e-05,
+      "loss": 3.54,
+      "step": 8000
+    },
+    {
+      "epoch": 1.36,
+      "learning_rate": 5.754547496070065e-05,
+      "loss": 3.54,
+      "step": 8500
+    },
+    {
+      "epoch": 1.44,
+      "learning_rate": 5.473837862115428e-05,
+      "loss": 3.54,
+      "step": 9000
+    },
+    {
+      "epoch": 1.5,
+      "eval_loss": 3.5400006771087646,
+      "eval_runtime": 36.4308,
+      "eval_samples_per_second": 54.899,
+      "eval_steps_per_second": 3.431,
+      "step": 9375
+    },
+    {
+      "epoch": 1.52,
+      "learning_rate": 5.193128228160791e-05,
+      "loss": 3.54,
+      "step": 9500
+    },
+    {
+      "epoch": 1.6,
+      "learning_rate": 4.912418594206153e-05,
+      "loss": 3.54,
+      "step": 10000
+    },
+    {
+      "epoch": 1.68,
+      "learning_rate": 4.631708960251516e-05,
+      "loss": 3.54,
+      "step": 10500
+    },
+    {
+      "epoch": 1.76,
+      "learning_rate": 4.350999326296879e-05,
+      "loss": 3.54,
+      "step": 11000
+    },
+    {
+      "epoch": 1.8,
+      "eval_loss": 3.5400006771087646,
+      "eval_runtime": 36.4709,
+      "eval_samples_per_second": 54.838,
+      "eval_steps_per_second": 3.427,
+      "step": 11250
+    },
+    {
+      "epoch": 1.84,
+      "learning_rate": 4.070289692342241e-05,
+      "loss": 3.54,
+      "step": 11500
+    },
+    {
+      "epoch": 1.92,
+      "learning_rate": 3.789580058387604e-05,
+      "loss": 3.54,
+      "step": 12000
+    },
+    {
+      "epoch": 2.0,
+      "learning_rate": 3.508870424432967e-05,
+      "loss": 3.54,
+      "step": 12500
+    },
+    {
+      "epoch": 2.08,
+      "learning_rate": 3.228160790478329e-05,
+      "loss": 3.54,
+      "step": 13000
+    },
+    {
+      "epoch": 2.1,
+      "eval_loss": 3.5400006771087646,
+      "eval_runtime": 36.4281,
+      "eval_samples_per_second": 54.903,
+      "eval_steps_per_second": 3.431,
+      "step": 13125
+    },
+    {
+      "epoch": 2.16,
+      "learning_rate": 2.9474511565236924e-05,
+      "loss": 3.54,
+      "step": 13500
+    },
+    {
+      "epoch": 2.24,
+      "learning_rate": 2.6667415225690546e-05,
+      "loss": 3.54,
+      "step": 14000
+    },
+    {
+      "epoch": 2.32,
+      "learning_rate": 2.3860318886144174e-05,
+      "loss": 3.54,
+      "step": 14500
+    },
+    {
+      "epoch": 2.4,
+      "learning_rate": 2.10532225465978e-05,
+      "loss": 3.54,
+      "step": 15000
+    },
+    {
+      "epoch": 2.4,
+      "eval_loss": 3.5400006771087646,
+      "eval_runtime": 36.434,
+      "eval_samples_per_second": 54.894,
+      "eval_steps_per_second": 3.431,
+      "step": 15000
+    },
+    {
+      "epoch": 2.48,
+      "learning_rate": 1.8246126207051426e-05,
+      "loss": 3.54,
+      "step": 15500
+    },
+    {
+      "epoch": 2.56,
+      "learning_rate": 1.5439029867505054e-05,
+      "loss": 3.54,
+      "step": 16000
+    },
+    {
+      "epoch": 2.64,
+      "learning_rate": 1.263193352795868e-05,
+      "loss": 3.54,
+      "step": 16500
+    },
+    {
+      "epoch": 2.7,
+      "eval_loss": 3.5400006771087646,
+      "eval_runtime": 36.4148,
+      "eval_samples_per_second": 54.923,
+      "eval_steps_per_second": 3.433,
+      "step": 16875
+    },
+    {
+      "epoch": 2.72,
+      "learning_rate": 9.824837188412307e-06,
+      "loss": 3.54,
+      "step": 17000
+    },
+    {
+      "epoch": 2.8,
+      "learning_rate": 7.017740848865933e-06,
+      "loss": 3.54,
+      "step": 17500
+    }
+  ],
+  "logging_steps": 500,
+  "max_steps": 18750,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 3,
+  "save_steps": 500,
+  "total_flos": 3.21532624896e+17,
+  "train_batch_size": 16,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-17500/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b08fb3b05a69da073efe961582b27c1826fb55f7847f9dd266326d273ed3d46c
+size 4728

checkpoint-18000/README.md

@@ -0,0 +1,202 @@
+---
+base_model: openai-community/gpt2-xl
+library_name: peft
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.13.2

checkpoint-18000/adapter_config.json

@@ -0,0 +1,31 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": {
+    "base_model_class": "GPT2LMHeadModel",
+    "parent_library": "transformers.models.gpt2.modeling_gpt2"
+  },
+  "base_model_name_or_path": "openai-community/gpt2-xl",
+  "bias": "none",
+  "fan_in_fan_out": true,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_dropout": 0.0,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 64,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "c_attn"
+  ],
+  "task_type": null,
+  "use_dora": false,
+  "use_rslora": false
+}

checkpoint-18000/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d9c69c168d861c814592ab09163c358b561a5cba9a1c157ea2d292de34e6f9f3
+size 78655768

checkpoint-18000/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1baedc43b7b773eba5ded651fa9a1548ec8987f51a9dafbd3df0117d43c2d62b
+size 157367674

checkpoint-18000/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a9bb91a626abd824a85bb34bc57596771601c065d3bde72bc14339d6e5f7c8e5
+size 14244

checkpoint-18000/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ba3e2c8496d35d5dbaf1875b87a8ac142eab4a5a0d5689f6f342c44ddac8c1cb
+size 1064

checkpoint-18000/special_tokens_map.json

@@ -0,0 +1,24 @@
+{
+  "bos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<|endoftext|>",
+  "unk_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

checkpoint-18000/tokenizer_config.json

@@ -0,0 +1,22 @@
+{
+  "add_bos_token": false,
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "50256": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<|endoftext|>",
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "<|endoftext|>",
+  "errors": "replace",
+  "model_max_length": 1024,
+  "pad_token": "<|endoftext|>",
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": "<|endoftext|>"
+}

checkpoint-18000/trainer_state.json

@@ -0,0 +1,309 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 2.88,
+  "eval_steps": 1875,
+  "global_step": 18000,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.08,
+      "learning_rate": 5.330490405117271e-05,
+      "loss": 4.544,
+      "step": 500
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 9.965192005389625e-05,
+      "loss": 3.54,
+      "step": 1000
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 9.684482371434989e-05,
+      "loss": 3.54,
+      "step": 1500
+    },
+    {
+      "epoch": 0.3,
+      "eval_loss": 3.5400006771087646,
+      "eval_runtime": 36.4256,
+      "eval_samples_per_second": 54.906,
+      "eval_steps_per_second": 3.432,
+      "step": 1875
+    },
+    {
+      "epoch": 0.32,
+      "learning_rate": 9.40377273748035e-05,
+      "loss": 3.54,
+      "step": 2000
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 9.123063103525713e-05,
+      "loss": 3.54,
+      "step": 2500
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 8.842353469571077e-05,
+      "loss": 3.54,
+      "step": 3000
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 8.561643835616438e-05,
+      "loss": 3.54,
+      "step": 3500
+    },
+    {
+      "epoch": 0.6,
+      "eval_loss": 3.5400006771087646,
+      "eval_runtime": 36.4006,
+      "eval_samples_per_second": 54.944,
+      "eval_steps_per_second": 3.434,
+      "step": 3750
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 8.280934201661802e-05,
+      "loss": 3.54,
+      "step": 4000
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 8.000224567707165e-05,
+      "loss": 3.54,
+      "step": 4500
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 7.719514933752526e-05,
+      "loss": 3.54,
+      "step": 5000
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 7.43880529979789e-05,
+      "loss": 3.54,
+      "step": 5500
+    },
+    {
+      "epoch": 0.9,
+      "eval_loss": 3.5400006771087646,
+      "eval_runtime": 36.4168,
+      "eval_samples_per_second": 54.92,
+      "eval_steps_per_second": 3.432,
+      "step": 5625
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 7.158095665843251e-05,
+      "loss": 3.54,
+      "step": 6000
+    },
+    {
+      "epoch": 1.04,
+      "learning_rate": 6.877386031888615e-05,
+      "loss": 3.54,
+      "step": 6500
+    },
+    {
+      "epoch": 1.12,
+      "learning_rate": 6.596676397933978e-05,
+      "loss": 3.54,
+      "step": 7000
+    },
+    {
+      "epoch": 1.2,
+      "learning_rate": 6.31596676397934e-05,
+      "loss": 3.54,
+      "step": 7500
+    },
+    {
+      "epoch": 1.2,
+      "eval_loss": 3.5400006771087646,
+      "eval_runtime": 36.427,
+      "eval_samples_per_second": 54.904,
+      "eval_steps_per_second": 3.432,
+      "step": 7500
+    },
+    {
+      "epoch": 1.28,
+      "learning_rate": 6.0352571300247026e-05,
+      "loss": 3.54,
+      "step": 8000
+    },
+    {
+      "epoch": 1.36,
+      "learning_rate": 5.754547496070065e-05,
+      "loss": 3.54,
+      "step": 8500
+    },
+    {
+      "epoch": 1.44,
+      "learning_rate": 5.473837862115428e-05,
+      "loss": 3.54,
+      "step": 9000
+    },
+    {
+      "epoch": 1.5,
+      "eval_loss": 3.5400006771087646,
+      "eval_runtime": 36.4308,
+      "eval_samples_per_second": 54.899,
+      "eval_steps_per_second": 3.431,
+      "step": 9375
+    },
+    {
+      "epoch": 1.52,
+      "learning_rate": 5.193128228160791e-05,
+      "loss": 3.54,
+      "step": 9500
+    },
+    {
+      "epoch": 1.6,
+      "learning_rate": 4.912418594206153e-05,
+      "loss": 3.54,
+      "step": 10000
+    },
+    {
+      "epoch": 1.68,
+      "learning_rate": 4.631708960251516e-05,
+      "loss": 3.54,
+      "step": 10500
+    },
+    {
+      "epoch": 1.76,
+      "learning_rate": 4.350999326296879e-05,
+      "loss": 3.54,
+      "step": 11000
+    },
+    {
+      "epoch": 1.8,
+      "eval_loss": 3.5400006771087646,
+      "eval_runtime": 36.4709,
+      "eval_samples_per_second": 54.838,
+      "eval_steps_per_second": 3.427,
+      "step": 11250
+    },
+    {
+      "epoch": 1.84,
+      "learning_rate": 4.070289692342241e-05,
+      "loss": 3.54,
+      "step": 11500
+    },
+    {
+      "epoch": 1.92,
+      "learning_rate": 3.789580058387604e-05,
+      "loss": 3.54,
+      "step": 12000
+    },
+    {
+      "epoch": 2.0,
+      "learning_rate": 3.508870424432967e-05,
+      "loss": 3.54,
+      "step": 12500
+    },
+    {
+      "epoch": 2.08,
+      "learning_rate": 3.228160790478329e-05,
+      "loss": 3.54,
+      "step": 13000
+    },
+    {
+      "epoch": 2.1,
+      "eval_loss": 3.5400006771087646,
+      "eval_runtime": 36.4281,
+      "eval_samples_per_second": 54.903,
+      "eval_steps_per_second": 3.431,
+      "step": 13125
+    },
+    {
+      "epoch": 2.16,
+      "learning_rate": 2.9474511565236924e-05,
+      "loss": 3.54,
+      "step": 13500
+    },
+    {
+      "epoch": 2.24,
+      "learning_rate": 2.6667415225690546e-05,
+      "loss": 3.54,
+      "step": 14000
+    },
+    {
+      "epoch": 2.32,
+      "learning_rate": 2.3860318886144174e-05,
+      "loss": 3.54,
+      "step": 14500
+    },
+    {
+      "epoch": 2.4,
+      "learning_rate": 2.10532225465978e-05,
+      "loss": 3.54,
+      "step": 15000
+    },
+    {
+      "epoch": 2.4,
+      "eval_loss": 3.5400006771087646,
+      "eval_runtime": 36.434,
+      "eval_samples_per_second": 54.894,
+      "eval_steps_per_second": 3.431,
+      "step": 15000
+    },
+    {
+      "epoch": 2.48,
+      "learning_rate": 1.8246126207051426e-05,
+      "loss": 3.54,
+      "step": 15500
+    },
+    {
+      "epoch": 2.56,
+      "learning_rate": 1.5439029867505054e-05,
+      "loss": 3.54,
+      "step": 16000
+    },
+    {
+      "epoch": 2.64,
+      "learning_rate": 1.263193352795868e-05,
+      "loss": 3.54,
+      "step": 16500
+    },
+    {
+      "epoch": 2.7,
+      "eval_loss": 3.5400006771087646,
+      "eval_runtime": 36.4148,
+      "eval_samples_per_second": 54.923,
+      "eval_steps_per_second": 3.433,
+      "step": 16875
+    },
+    {
+      "epoch": 2.72,
+      "learning_rate": 9.824837188412307e-06,
+      "loss": 3.54,
+      "step": 17000
+    },
+    {
+      "epoch": 2.8,
+      "learning_rate": 7.017740848865933e-06,
+      "loss": 3.54,
+      "step": 17500
+    },
+    {
+      "epoch": 2.88,
+      "learning_rate": 4.21064450931956e-06,
+      "loss": 3.54,
+      "step": 18000
+    }
+  ],
+  "logging_steps": 500,
+  "max_steps": 18750,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 3,
+  "save_steps": 500,
+  "total_flos": 3.307192713216e+17,
+  "train_batch_size": 16,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-18000/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b08fb3b05a69da073efe961582b27c1826fb55f7847f9dd266326d273ed3d46c
+size 4728