Upload folder using huggingface_hub

README.md

@@ -0,0 +1,164 @@
+---
+library_name: peft
+base_model: NousResearch/CodeLlama-13b-hf-flash
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: 956ff7da-caf6-4258-8ba2-fac5c897b10f
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
+<details><summary>See axolotl config</summary>
+
+axolotl version: `0.4.1`
+```yaml
+adapter: lora
+base_model: NousResearch/CodeLlama-13b-hf-flash
+bf16: true
+chat_template: llama3
+data_processes: 16
+dataset_prepared_path: null
+datasets:
+- data_files:
+  - 47718b713f791a86_train_data.json
+  ds_type: json
+  format: custom
+  path: /workspace/input_data/47718b713f791a86_train_data.json
+  type:
+    field_instruction: verse
+    field_output: translation
+    format: '{instruction}'
+    no_input_format: '{instruction}'
+    system_format: '{system}'
+    system_prompt: ''
+debug: null
+deepspeed: null
+device_map: auto
+do_eval: true
+early_stopping_patience: 5
+eval_batch_size: 4
+eval_max_new_tokens: 128
+eval_steps: 50
+eval_table_size: null
+evals_per_epoch: null
+flash_attention: false
+fp16: false
+fsdp: null
+fsdp_config: null
+gradient_accumulation_steps: 8
+gradient_checkpointing: true
+group_by_length: true
+hub_model_id: sn56m1/956ff7da-caf6-4258-8ba2-fac5c897b10f
+hub_repo: null
+hub_strategy: checkpoint
+hub_token: null
+learning_rate: 5.0e-06
+load_in_4bit: false
+load_in_8bit: false
+local_rank: null
+logging_steps: 1
+lora_alpha: 32
+lora_dropout: 0.1
+lora_fan_in_fan_out: null
+lora_model_dir: null
+lora_r: 16
+lora_target_linear: true
+lr_scheduler: cosine
+max_grad_norm: 2.0
+max_memory:
+  0: 70GB
+max_steps: 100
+micro_batch_size: 4
+mlflow_experiment_name: /tmp/47718b713f791a86_train_data.json
+model_type: AutoModelForCausalLM
+num_epochs: 3
+optim_args:
+  adam_beta1: 0.9
+  adam_beta2: 0.95
+  adam_epsilon: 1e-5
+optimizer: adamw_torch
+output_dir: miner_id_24
+pad_to_sequence_len: true
+resume_from_checkpoint: null
+s2_attention: null
+sample_packing: false
+save_steps: 50
+saves_per_epoch: null
+sequence_len: 1024
+special_tokens:
+  pad_token: </s>
+strict: false
+tf32: true
+tokenizer_type: AutoTokenizer
+train_on_inputs: false
+trust_remote_code: true
+val_set_size: 0.05
+wandb_entity: sn56-miner
+wandb_mode: disabled
+wandb_name: 956ff7da-caf6-4258-8ba2-fac5c897b10f
+wandb_project: god
+wandb_run: s4xq
+wandb_runid: 956ff7da-caf6-4258-8ba2-fac5c897b10f
+warmup_steps: 10
+weight_decay: 0.0
+xformers_attention: null
+
+```
+
+</details><br>
+
+# 956ff7da-caf6-4258-8ba2-fac5c897b10f
+
+This model is a fine-tuned version of [NousResearch/CodeLlama-13b-hf-flash](https://huggingface.co/NousResearch/CodeLlama-13b-hf-flash) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.4464
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-06
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 32
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=adam_beta1=0.9,adam_beta2=0.95,adam_epsilon=1e-5
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 10
+- training_steps: 100
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 12.0843       | 0.0005 | 1    | 2.5689          |
+| 42.8953       | 0.0271 | 50   | 2.4955          |
+| 38.8144       | 0.0542 | 100  | 2.4464          |
+
+
+### Framework versions
+
+- PEFT 0.13.2
+- Transformers 4.46.0
+- Pytorch 2.5.0+cu124
+- Datasets 3.0.1
+- Tokenizers 0.20.1

adapter_config.json

@@ -0,0 +1,34 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "NousResearch/CodeLlama-13b-hf-flash",
+  "bias": "none",
+  "fan_in_fan_out": null,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "k_proj",
+    "o_proj",
+    "q_proj",
+    "up_proj",
+    "down_proj",
+    "v_proj",
+    "gate_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8f50a3569765090f6274eb247b6a3d2712c4b1ea6aa86d392397caf51a3d3623
+size 250550026

adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8f46342b1765499ccf6a90b462751720366d1debce0e8f5105f5dadf63029069
+size 250422888

config.json

@@ -0,0 +1,33 @@
+{
+  "_attn_implementation_autoset": true,
+  "_name_or_path": "NousResearch/CodeLlama-13b-hf-flash",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "auto_map": {
+    "AutoConfig": "NousResearch/CodeLlama-13b-hf-flash--configuration_llama.LlamaConfig",
+    "AutoModel": "NousResearch/CodeLlama-13b-hf-flash--modeling_flash_llama.LlamaModel",
+    "AutoModelForCausalLM": "NousResearch/CodeLlama-13b-hf-flash--modeling_flash_llama.LlamaForCausalLM",
+    "AutoModelForSequenceClassification": "NousResearch/CodeLlama-13b-hf-flash--modeling_flash_llama.LlamaForSequenceClassification"
+  },
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 5120,
+  "initializer_range": 0.02,
+  "intermediate_size": 13824,
+  "max_position_embeddings": 16384,
+  "model_type": "llama",
+  "num_attention_heads": 40,
+  "num_hidden_layers": 40,
+  "num_key_value_heads": 40,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 1000000,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.46.0",
+  "use_cache": false,
+  "vocab_size": 32016
+}

last-checkpoint/README.md

@@ -0,0 +1,202 @@
+---
+base_model: NousResearch/CodeLlama-13b-hf-flash
+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

last-checkpoint/adapter_config.json

@@ -0,0 +1,34 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "NousResearch/CodeLlama-13b-hf-flash",
+  "bias": "none",
+  "fan_in_fan_out": null,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "k_proj",
+    "o_proj",
+    "q_proj",
+    "up_proj",
+    "down_proj",
+    "v_proj",
+    "gate_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

last-checkpoint/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8f46342b1765499ccf6a90b462751720366d1debce0e8f5105f5dadf63029069
+size 250422888

last-checkpoint/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0a29f7dad4fe351cd47588f7b0299e464458207ddff995bbb07e7695ab9a4001
+size 501168482

last-checkpoint/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dfde37d974eb135b56f608c6996a529e004f1b3a1386ef7d9997a54d3bdf0ce3
+size 14244

last-checkpoint/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f2c4a11c3ec7ace2e963dc6e2b0b5b6372cc0250cefb36d5f7289475908638cb
+size 1064

last-checkpoint/special_tokens_map.json

@@ -0,0 +1,30 @@
+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

last-checkpoint/tokenizer.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:45ccb9c8b6b561889acea59191d66986d314e7cbd6a78abc6e49b139ca91c1e6
+size 500058

last-checkpoint/tokenizer_config.json

@@ -0,0 +1,42 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "add_prefix_space": null,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<s>",
+  "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": true,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "</s>",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

last-checkpoint/trainer_state.json

@@ -0,0 +1,766 @@
+{
+  "best_metric": 2.4464058876037598,
+  "best_model_checkpoint": "miner_id_24/checkpoint-100",
+  "epoch": 0.0541895278737384,
+  "eval_steps": 50,
+  "global_step": 100,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.000541895278737384,
+      "grad_norm": 1.312487244606018,
+      "learning_rate": 5.000000000000001e-07,
+      "loss": 12.0843,
+      "step": 1
+    },
+    {
+      "epoch": 0.000541895278737384,
+      "eval_loss": 2.568927049636841,
+      "eval_runtime": 356.6215,
+      "eval_samples_per_second": 8.715,
+      "eval_steps_per_second": 2.179,
+      "step": 1
+    },
+    {
+      "epoch": 0.001083790557474768,
+      "grad_norm": 2.0385873317718506,
+      "learning_rate": 1.0000000000000002e-06,
+      "loss": 13.4083,
+      "step": 2
+    },
+    {
+      "epoch": 0.001625685836212152,
+      "grad_norm": 1.9277825355529785,
+      "learning_rate": 1.5e-06,
+      "loss": 13.6711,
+      "step": 3
+    },
+    {
+      "epoch": 0.002167581114949536,
+      "grad_norm": 2.5886740684509277,
+      "learning_rate": 2.0000000000000003e-06,
+      "loss": 14.1684,
+      "step": 4
+    },
+    {
+      "epoch": 0.00270947639368692,
+      "grad_norm": 2.3235366344451904,
+      "learning_rate": 2.5e-06,
+      "loss": 15.3074,
+      "step": 5
+    },
+    {
+      "epoch": 0.003251371672424304,
+      "grad_norm": 2.580097198486328,
+      "learning_rate": 3e-06,
+      "loss": 15.5703,
+      "step": 6
+    },
+    {
+      "epoch": 0.003793266951161688,
+      "grad_norm": 2.3437869548797607,
+      "learning_rate": 3.5e-06,
+      "loss": 15.6797,
+      "step": 7
+    },
+    {
+      "epoch": 0.004335162229899072,
+      "grad_norm": 2.1751561164855957,
+      "learning_rate": 4.000000000000001e-06,
+      "loss": 15.6452,
+      "step": 8
+    },
+    {
+      "epoch": 0.004877057508636456,
+      "grad_norm": 2.4562244415283203,
+      "learning_rate": 4.5e-06,
+      "loss": 16.0855,
+      "step": 9
+    },
+    {
+      "epoch": 0.00541895278737384,
+      "grad_norm": 2.959887981414795,
+      "learning_rate": 5e-06,
+      "loss": 16.5416,
+      "step": 10
+    },
+    {
+      "epoch": 0.005960848066111224,
+      "grad_norm": 2.9056694507598877,
+      "learning_rate": 4.99847706754774e-06,
+      "loss": 15.9268,
+      "step": 11
+    },
+    {
+      "epoch": 0.006502743344848608,
+      "grad_norm": 2.3838143348693848,
+      "learning_rate": 4.993910125649561e-06,
+      "loss": 17.0944,
+      "step": 12
+    },
+    {
+      "epoch": 0.007044638623585992,
+      "grad_norm": 3.266652822494507,
+      "learning_rate": 4.986304738420684e-06,
+      "loss": 17.1496,
+      "step": 13
+    },
+    {
+      "epoch": 0.007586533902323376,
+      "grad_norm": 3.1640474796295166,
+      "learning_rate": 4.975670171853926e-06,
+      "loss": 17.4364,
+      "step": 14
+    },
+    {
+      "epoch": 0.00812842918106076,
+      "grad_norm": 3.757476329803467,
+      "learning_rate": 4.962019382530521e-06,
+      "loss": 17.5002,
+      "step": 15
+    },
+    {
+      "epoch": 0.008670324459798144,
+      "grad_norm": 3.355529546737671,
+      "learning_rate": 4.9453690018345144e-06,
+      "loss": 16.9041,
+      "step": 16
+    },
+    {
+      "epoch": 0.009212219738535529,
+      "grad_norm": 3.3027448654174805,
+      "learning_rate": 4.925739315689991e-06,
+      "loss": 18.0518,
+      "step": 17
+    },
+    {
+      "epoch": 0.009754115017272911,
+      "grad_norm": 3.941869020462036,
+      "learning_rate": 4.903154239845798e-06,
+      "loss": 17.2925,
+      "step": 18
+    },
+    {
+      "epoch": 0.010296010296010296,
+      "grad_norm": 3.906616687774658,
+      "learning_rate": 4.8776412907378845e-06,
+      "loss": 18.5134,
+      "step": 19
+    },
+    {
+      "epoch": 0.01083790557474768,
+      "grad_norm": 4.283662796020508,
+      "learning_rate": 4.849231551964771e-06,
+      "loss": 17.6599,
+      "step": 20
+    },
+    {
+      "epoch": 0.011379800853485065,
+      "grad_norm": 3.5966744422912598,
+      "learning_rate": 4.817959636416969e-06,
+      "loss": 17.765,
+      "step": 21
+    },
+    {
+      "epoch": 0.011921696132222447,
+      "grad_norm": 3.567039966583252,
+      "learning_rate": 4.783863644106502e-06,
+      "loss": 20.5735,
+      "step": 22
+    },
+    {
+      "epoch": 0.012463591410959832,
+      "grad_norm": 4.263599395751953,
+      "learning_rate": 4.746985115747918e-06,
+      "loss": 18.9028,
+      "step": 23
+    },
+    {
+      "epoch": 0.013005486689697216,
+      "grad_norm": 3.6329641342163086,
+      "learning_rate": 4.707368982147318e-06,
+      "loss": 18.6384,
+      "step": 24
+    },
+    {
+      "epoch": 0.0135473819684346,
+      "grad_norm": 5.154904365539551,
+      "learning_rate": 4.665063509461098e-06,
+      "loss": 19.6976,
+      "step": 25
+    },
+    {
+      "epoch": 0.014089277247171983,
+      "grad_norm": 4.175611972808838,
+      "learning_rate": 4.620120240391065e-06,
+      "loss": 18.8855,
+      "step": 26
+    },
+    {
+      "epoch": 0.014631172525909368,
+      "grad_norm": 5.684014797210693,
+      "learning_rate": 4.572593931387604e-06,
+      "loss": 17.9151,
+      "step": 27
+    },
+    {
+      "epoch": 0.015173067804646752,
+      "grad_norm": 3.9782209396362305,
+      "learning_rate": 4.522542485937369e-06,
+      "loss": 18.1362,
+      "step": 28
+    },
+    {
+      "epoch": 0.015714963083384135,
+      "grad_norm": 5.732182025909424,
+      "learning_rate": 4.470026884016805e-06,
+      "loss": 20.7214,
+      "step": 29
+    },
+    {
+      "epoch": 0.01625685836212152,
+      "grad_norm": 5.507081031799316,
+      "learning_rate": 4.415111107797445e-06,
+      "loss": 19.7423,
+      "step": 30
+    },
+    {
+      "epoch": 0.016798753640858904,
+      "grad_norm": 5.731754779815674,
+      "learning_rate": 4.357862063693486e-06,
+      "loss": 22.4296,
+      "step": 31
+    },
+    {
+      "epoch": 0.017340648919596288,
+      "grad_norm": 4.9393463134765625,
+      "learning_rate": 4.2983495008466285e-06,
+      "loss": 19.3488,
+      "step": 32
+    },
+    {
+      "epoch": 0.017882544198333673,
+      "grad_norm": 4.795718669891357,
+      "learning_rate": 4.236645926147493e-06,
+      "loss": 19.5817,
+      "step": 33
+    },
+    {
+      "epoch": 0.018424439477071057,
+      "grad_norm": 5.4530463218688965,
+      "learning_rate": 4.172826515897146e-06,
+      "loss": 20.7245,
+      "step": 34
+    },
+    {
+      "epoch": 0.01896633475580844,
+      "grad_norm": 5.843173980712891,
+      "learning_rate": 4.106969024216348e-06,
+      "loss": 22.3009,
+      "step": 35
+    },
+    {
+      "epoch": 0.019508230034545822,
+      "grad_norm": 6.191988945007324,
+      "learning_rate": 4.039153688314146e-06,
+      "loss": 19.8796,
+      "step": 36
+    },
+    {
+      "epoch": 0.020050125313283207,
+      "grad_norm": 6.448052883148193,
+      "learning_rate": 3.969463130731183e-06,
+      "loss": 21.6479,
+      "step": 37
+    },
+    {
+      "epoch": 0.02059202059202059,
+      "grad_norm": 11.463981628417969,
+      "learning_rate": 3.897982258676867e-06,
+      "loss": 21.8738,
+      "step": 38
+    },
+    {
+      "epoch": 0.021133915870757976,
+      "grad_norm": 6.69301700592041,
+      "learning_rate": 3.824798160583012e-06,
+      "loss": 21.8778,
+      "step": 39
+    },
+    {
+      "epoch": 0.02167581114949536,
+      "grad_norm": 6.770164489746094,
+      "learning_rate": 3.7500000000000005e-06,
+      "loss": 22.1602,
+      "step": 40
+    },
+    {
+      "epoch": 0.022217706428232745,
+      "grad_norm": 7.03548002243042,
+      "learning_rate": 3.6736789069647273e-06,
+      "loss": 22.7901,
+      "step": 41
+    },
+    {
+      "epoch": 0.02275960170697013,
+      "grad_norm": 9.729033470153809,
+      "learning_rate": 3.595927866972694e-06,
+      "loss": 24.2832,
+      "step": 42
+    },
+    {
+      "epoch": 0.023301496985707514,
+      "grad_norm": 7.9464335441589355,
+      "learning_rate": 3.516841607689501e-06,
+      "loss": 25.8137,
+      "step": 43
+    },
+    {
+      "epoch": 0.023843392264444895,
+      "grad_norm": 8.11252212524414,
+      "learning_rate": 3.436516483539781e-06,
+      "loss": 28.7299,
+      "step": 44
+    },
+    {
+      "epoch": 0.02438528754318228,
+      "grad_norm": 9.726422309875488,
+      "learning_rate": 3.3550503583141726e-06,
+      "loss": 26.6308,
+      "step": 45
+    },
+    {
+      "epoch": 0.024927182821919663,
+      "grad_norm": 11.935210227966309,
+      "learning_rate": 3.272542485937369e-06,
+      "loss": 30.5609,
+      "step": 46
+    },
+    {
+      "epoch": 0.025469078100657048,
+      "grad_norm": 10.29076099395752,
+      "learning_rate": 3.189093389542498e-06,
+      "loss": 28.0565,
+      "step": 47
+    },
+    {
+      "epoch": 0.026010973379394432,
+      "grad_norm": 13.732169151306152,
+      "learning_rate": 3.1048047389991693e-06,
+      "loss": 33.951,
+      "step": 48
+    },
+    {
+      "epoch": 0.026552868658131817,
+      "grad_norm": 12.743755340576172,
+      "learning_rate": 3.019779227044398e-06,
+      "loss": 35.0371,
+      "step": 49
+    },
+    {
+      "epoch": 0.0270947639368692,
+      "grad_norm": 19.506738662719727,
+      "learning_rate": 2.9341204441673267e-06,
+      "loss": 42.8953,
+      "step": 50
+    },
+    {
+      "epoch": 0.0270947639368692,
+      "eval_loss": 2.4954833984375,
+      "eval_runtime": 358.0494,
+      "eval_samples_per_second": 8.68,
+      "eval_steps_per_second": 2.17,
+      "step": 50
+    },
+    {
+      "epoch": 0.027636659215606586,
+      "grad_norm": 1.6957308053970337,
+      "learning_rate": 2.847932752400164e-06,
+      "loss": 12.6216,
+      "step": 51
+    },
+    {
+      "epoch": 0.028178554494343967,
+      "grad_norm": 2.395599842071533,
+      "learning_rate": 2.761321158169134e-06,
+      "loss": 13.6985,
+      "step": 52
+    },
+    {
+      "epoch": 0.02872044977308135,
+      "grad_norm": 2.4453835487365723,
+      "learning_rate": 2.6743911843603134e-06,
+      "loss": 13.4491,
+      "step": 53
+    },
+    {
+      "epoch": 0.029262345051818735,
+      "grad_norm": 4.068036079406738,
+      "learning_rate": 2.587248741756253e-06,
+      "loss": 13.1798,
+      "step": 54
+    },
+    {
+      "epoch": 0.02980424033055612,
+      "grad_norm": 3.4825592041015625,
+      "learning_rate": 2.5e-06,
+      "loss": 14.8378,
+      "step": 55
+    },
+    {
+      "epoch": 0.030346135609293504,
+      "grad_norm": 3.283317804336548,
+      "learning_rate": 2.4127512582437486e-06,
+      "loss": 14.6238,
+      "step": 56
+    },
+    {
+      "epoch": 0.03088803088803089,
+      "grad_norm": 2.9764211177825928,
+      "learning_rate": 2.325608815639687e-06,
+      "loss": 15.7249,
+      "step": 57
+    },
+    {
+      "epoch": 0.03142992616676827,
+      "grad_norm": 2.89556622505188,
+      "learning_rate": 2.238678841830867e-06,
+      "loss": 14.5268,
+      "step": 58
+    },
+    {
+      "epoch": 0.03197182144550566,
+      "grad_norm": 4.53331995010376,
+      "learning_rate": 2.1520672475998374e-06,
+      "loss": 15.1174,
+      "step": 59
+    },
+    {
+      "epoch": 0.03251371672424304,
+      "grad_norm": 3.2078773975372314,
+      "learning_rate": 2.0658795558326745e-06,
+      "loss": 15.0038,
+      "step": 60
+    },
+    {
+      "epoch": 0.033055612002980427,
+      "grad_norm": 3.0406272411346436,
+      "learning_rate": 1.9802207729556023e-06,
+      "loss": 15.8146,
+      "step": 61
+    },
+    {
+      "epoch": 0.03359750728171781,
+      "grad_norm": 3.8402979373931885,
+      "learning_rate": 1.895195261000831e-06,
+      "loss": 16.1639,
+      "step": 62
+    },
+    {
+      "epoch": 0.034139402560455195,
+      "grad_norm": 3.454057455062866,
+      "learning_rate": 1.8109066104575023e-06,
+      "loss": 15.6871,
+      "step": 63
+    },
+    {
+      "epoch": 0.034681297839192576,
+      "grad_norm": 3.8209731578826904,
+      "learning_rate": 1.7274575140626318e-06,
+      "loss": 17.064,
+      "step": 64
+    },
+    {
+      "epoch": 0.03522319311792996,
+      "grad_norm": 3.635895252227783,
+      "learning_rate": 1.6449496416858285e-06,
+      "loss": 15.6606,
+      "step": 65
+    },
+    {
+      "epoch": 0.035765088396667345,
+      "grad_norm": 4.060421466827393,
+      "learning_rate": 1.56348351646022e-06,
+      "loss": 17.5466,
+      "step": 66
+    },
+    {
+      "epoch": 0.036306983675404726,
+      "grad_norm": 4.730147361755371,
+      "learning_rate": 1.4831583923105e-06,
+      "loss": 17.1693,
+      "step": 67
+    },
+    {
+      "epoch": 0.036848878954142114,
+      "grad_norm": 9.351218223571777,
+      "learning_rate": 1.4040721330273063e-06,
+      "loss": 15.6337,
+      "step": 68
+    },
+    {
+      "epoch": 0.037390774232879495,
+      "grad_norm": 4.0762128829956055,
+      "learning_rate": 1.3263210930352737e-06,
+      "loss": 15.6759,
+      "step": 69
+    },
+    {
+      "epoch": 0.03793266951161688,
+      "grad_norm": 4.4134907722473145,
+      "learning_rate": 1.2500000000000007e-06,
+      "loss": 16.9798,
+      "step": 70
+    },
+    {
+      "epoch": 0.038474564790354264,
+      "grad_norm": 4.037068843841553,
+      "learning_rate": 1.1752018394169882e-06,
+      "loss": 18.4723,
+      "step": 71
+    },
+    {
+      "epoch": 0.039016460069091645,
+      "grad_norm": 4.869369983673096,
+      "learning_rate": 1.1020177413231334e-06,
+      "loss": 16.1792,
+      "step": 72
+    },
+    {
+      "epoch": 0.03955835534782903,
+      "grad_norm": 4.059152126312256,
+      "learning_rate": 1.0305368692688175e-06,
+      "loss": 18.025,
+      "step": 73
+    },
+    {
+      "epoch": 0.040100250626566414,
+      "grad_norm": 6.198925971984863,
+      "learning_rate": 9.608463116858544e-07,
+      "loss": 17.3643,
+      "step": 74
+    },
+    {
+      "epoch": 0.0406421459053038,
+      "grad_norm": 4.602997303009033,
+      "learning_rate": 8.930309757836517e-07,
+      "loss": 18.4931,
+      "step": 75
+    },
+    {
+      "epoch": 0.04118404118404118,
+      "grad_norm": 5.112064838409424,
+      "learning_rate": 8.271734841028553e-07,
+      "loss": 18.2432,
+      "step": 76
+    },
+    {
+      "epoch": 0.04172593646277857,
+      "grad_norm": 5.037693977355957,
+      "learning_rate": 7.633540738525066e-07,
+      "loss": 19.7166,
+      "step": 77
+    },
+    {
+      "epoch": 0.04226783174151595,
+      "grad_norm": 6.0072550773620605,
+      "learning_rate": 7.016504991533727e-07,
+      "loss": 19.2431,
+      "step": 78
+    },
+    {
+      "epoch": 0.04280972702025334,
+      "grad_norm": 5.383151054382324,
+      "learning_rate": 6.421379363065142e-07,
+      "loss": 19.4844,
+      "step": 79
+    },
+    {
+      "epoch": 0.04335162229899072,
+      "grad_norm": 6.218992233276367,
+      "learning_rate": 5.848888922025553e-07,
+      "loss": 18.2424,
+      "step": 80
+    },
+    {
+      "epoch": 0.0438935175777281,
+      "grad_norm": 5.023440837860107,
+      "learning_rate": 5.299731159831953e-07,
+      "loss": 18.9336,
+      "step": 81
+    },
+    {
+      "epoch": 0.04443541285646549,
+      "grad_norm": 5.840432167053223,
+      "learning_rate": 4.774575140626317e-07,
+      "loss": 18.8547,
+      "step": 82
+    },
+    {
+      "epoch": 0.04497730813520287,
+      "grad_norm": 6.296828269958496,
+      "learning_rate": 4.27406068612396e-07,
+      "loss": 20.1747,
+      "step": 83
+    },
+    {
+      "epoch": 0.04551920341394026,
+      "grad_norm": 6.640228748321533,
+      "learning_rate": 3.798797596089351e-07,
+      "loss": 20.2483,
+      "step": 84
+    },
+    {
+      "epoch": 0.04606109869267764,
+      "grad_norm": 7.213305950164795,
+      "learning_rate": 3.3493649053890325e-07,
+      "loss": 21.2069,
+      "step": 85
+    },
+    {
+      "epoch": 0.04660299397141503,
+      "grad_norm": 6.3729567527771,
+      "learning_rate": 2.9263101785268253e-07,
+      "loss": 19.7627,
+      "step": 86
+    },
+    {
+      "epoch": 0.04714488925015241,
+      "grad_norm": 7.3160600662231445,
+      "learning_rate": 2.53014884252083e-07,
+      "loss": 20.9435,
+      "step": 87
+    },
+    {
+      "epoch": 0.04768678452888979,
+      "grad_norm": 7.332363605499268,
+      "learning_rate": 2.1613635589349756e-07,
+      "loss": 20.6377,
+      "step": 88
+    },
+    {
+      "epoch": 0.04822867980762718,
+      "grad_norm": 7.867956161499023,
+      "learning_rate": 1.8204036358303173e-07,
+      "loss": 20.0944,
+      "step": 89
+    },
+    {
+      "epoch": 0.04877057508636456,
+      "grad_norm": 7.888767242431641,
+      "learning_rate": 1.507684480352292e-07,
+      "loss": 22.6835,
+      "step": 90
+    },
+    {
+      "epoch": 0.049312470365101946,
+      "grad_norm": 9.607979774475098,
+      "learning_rate": 1.223587092621162e-07,
+      "loss": 22.9416,
+      "step": 91
+    },
+    {
+      "epoch": 0.04985436564383933,
+      "grad_norm": 8.894455909729004,
+      "learning_rate": 9.684576015420277e-08,
+      "loss": 24.3503,
+      "step": 92
+    },
+    {
+      "epoch": 0.050396260922576715,
+      "grad_norm": 8.218143463134766,
+      "learning_rate": 7.426068431000883e-08,
+      "loss": 23.8572,
+      "step": 93
+    },
+    {
+      "epoch": 0.050938156201314096,
+      "grad_norm": 9.763501167297363,
+      "learning_rate": 5.463099816548578e-08,
+      "loss": 25.768,
+      "step": 94
+    },
+    {
+      "epoch": 0.05148005148005148,
+      "grad_norm": 10.202559471130371,
+      "learning_rate": 3.798061746947995e-08,
+      "loss": 26.5671,
+      "step": 95
+    },
+    {
+      "epoch": 0.052021946758788865,
+      "grad_norm": 10.504480361938477,
+      "learning_rate": 2.4329828146074096e-08,
+      "loss": 25.8313,
+      "step": 96
+    },
+    {
+      "epoch": 0.052563842037526246,
+      "grad_norm": 11.200603485107422,
+      "learning_rate": 1.3695261579316776e-08,
+      "loss": 27.4676,
+      "step": 97
+    },
+    {
+      "epoch": 0.05310573731626363,
+      "grad_norm": 10.476430892944336,
+      "learning_rate": 6.089874350439507e-09,
+      "loss": 29.916,
+      "step": 98
+    },
+    {
+      "epoch": 0.053647632595001014,
+      "grad_norm": 13.919726371765137,
+      "learning_rate": 1.5229324522605949e-09,
+      "loss": 35.1479,
+      "step": 99
+    },
+    {
+      "epoch": 0.0541895278737384,
+      "grad_norm": 17.542753219604492,
+      "learning_rate": 0.0,
+      "loss": 38.8144,
+      "step": 100
+    },
+    {
+      "epoch": 0.0541895278737384,
+      "eval_loss": 2.4464058876037598,
+      "eval_runtime": 357.9028,
+      "eval_samples_per_second": 8.684,
+      "eval_steps_per_second": 2.171,
+      "step": 100
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 100,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 50,
+  "stateful_callbacks": {
+    "EarlyStoppingCallback": {
+      "args": {
+        "early_stopping_patience": 5,
+        "early_stopping_threshold": 0.0
+      },
+      "attributes": {
+        "early_stopping_patience_counter": 0
+      }
+    },
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 2.5486537298804736e+17,
+  "train_batch_size": 4,
+  "trial_name": null,
+  "trial_params": null
+}

last-checkpoint/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:140dfcc966a8bcaefe91ad52a53c436bea7a98a0f58d3a7806344f45b8a7f9a3
+size 6840

special_tokens_map.json

@@ -0,0 +1,30 @@
+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:45ccb9c8b6b561889acea59191d66986d314e7cbd6a78abc6e49b139ca91c1e6
+size 500058

tokenizer_config.json

@@ -0,0 +1,42 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "add_prefix_space": null,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<s>",
+  "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": true,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "</s>",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:140dfcc966a8bcaefe91ad52a53c436bea7a98a0f58d3a7806344f45b8a7f9a3
+size 6840