Training in progress, epoch 0, checkpoint

last-checkpoint/README.md

@@ -0,0 +1,202 @@
+---
+base_model: tlphams/gollm-12.8b-instruct-v2.3
+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 +1,31 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "tlphams/gollm-12.8b-instruct-v2.3",
+  "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": 16,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "query_key_value",
+    "dense_4h_to_h",
+    "dense_h_to_4h",
+    "dense"
+  ],
+  "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 sha256:4859f382f1fa072d0e578e88787d98c2bb793c515f28ef6cb37b8684ed570bdc
+size 104902272

last-checkpoint/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ac96353f7b8c0dc7b3c668b633eecc12349b5b7ba88165cadb9616a47aadf7e9
+size 53622996

last-checkpoint/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:16fb800155d5f62cf7f0fc3c2252e444dc82c2280c51872521ce0d942dc94f0d
+size 14244

last-checkpoint/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:439e51f57871ee9c2bc8b35458a0c03f9b948af7a0d15ffe5e1cf9789955c6c8
+size 1064

last-checkpoint/special_tokens_map.json

@@ -0,0 +1,23 @@
+{
+  "additional_special_tokens": [
+    "<|endoftext|>",
+    "<|sep|>",
+    "<|acc|>",
+    "<|tel|>",
+    "<|rrn|>"
+  ],
+  "eos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

last-checkpoint/tokenizer_config.json

@@ -0,0 +1,77 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<|unused0|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<|unused1|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "3": {
+      "content": "<|sep|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "30000": {
+      "content": "<|acc|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "30001": {
+      "content": "<|tel|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "30002": {
+      "content": "<|rrn|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "<|endoftext|>",
+    "<|sep|>",
+    "<|acc|>",
+    "<|tel|>",
+    "<|rrn|>"
+  ],
+  "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": true,
+  "eos_token": "<|endoftext|>",
+  "max_length": 2048,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<|endoftext|>",
+  "stride": 0,
+  "tokenizer_class": "PreTrainedTokenizerFast",
+  "truncation_side": "right",
+  "truncation_strategy": "longest_first"
+}

last-checkpoint/trainer_state.json

@@ -0,0 +1,383 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 0.002597672485453034,
+  "eval_steps": 500,
+  "global_step": 50,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 5.195344970906068e-05,
+      "grad_norm": 0.3428809344768524,
+      "learning_rate": 1e-05,
+      "loss": 5.037,
+      "step": 1
+    },
+    {
+      "epoch": 0.00010390689941812137,
+      "grad_norm": 0.3120958209037781,
+      "learning_rate": 2e-05,
+      "loss": 7.7427,
+      "step": 2
+    },
+    {
+      "epoch": 0.00015586034912718204,
+      "grad_norm": 0.3821350932121277,
+      "learning_rate": 3e-05,
+      "loss": 4.9036,
+      "step": 3
+    },
+    {
+      "epoch": 0.00020781379883624273,
+      "grad_norm": 0.22991156578063965,
+      "learning_rate": 4e-05,
+      "loss": 5.292,
+      "step": 4
+    },
+    {
+      "epoch": 0.0002597672485453034,
+      "grad_norm": 0.3285081088542938,
+      "learning_rate": 5e-05,
+      "loss": 5.5576,
+      "step": 5
+    },
+    {
+      "epoch": 0.0003117206982543641,
+      "grad_norm": 0.45770159363746643,
+      "learning_rate": 4.993910125649561e-05,
+      "loss": 5.3301,
+      "step": 6
+    },
+    {
+      "epoch": 0.0003636741479634248,
+      "grad_norm": 0.3909569978713989,
+      "learning_rate": 4.975670171853926e-05,
+      "loss": 5.0764,
+      "step": 7
+    },
+    {
+      "epoch": 0.00041562759767248546,
+      "grad_norm": 0.6831026077270508,
+      "learning_rate": 4.9453690018345144e-05,
+      "loss": 5.1683,
+      "step": 8
+    },
+    {
+      "epoch": 0.0004675810473815461,
+      "grad_norm": 0.5983854532241821,
+      "learning_rate": 4.9031542398457974e-05,
+      "loss": 5.1088,
+      "step": 9
+    },
+    {
+      "epoch": 0.0005195344970906068,
+      "grad_norm": 0.45557770133018494,
+      "learning_rate": 4.849231551964771e-05,
+      "loss": 5.6262,
+      "step": 10
+    },
+    {
+      "epoch": 0.0005714879467996675,
+      "grad_norm": 0.555141270160675,
+      "learning_rate": 4.783863644106502e-05,
+      "loss": 4.3214,
+      "step": 11
+    },
+    {
+      "epoch": 0.0006234413965087282,
+      "grad_norm": 0.5098687410354614,
+      "learning_rate": 4.707368982147318e-05,
+      "loss": 4.7553,
+      "step": 12
+    },
+    {
+      "epoch": 0.0006753948462177888,
+      "grad_norm": 0.7282283306121826,
+      "learning_rate": 4.620120240391065e-05,
+      "loss": 4.6829,
+      "step": 13
+    },
+    {
+      "epoch": 0.0007273482959268496,
+      "grad_norm": 0.6713859438896179,
+      "learning_rate": 4.522542485937369e-05,
+      "loss": 4.2758,
+      "step": 14
+    },
+    {
+      "epoch": 0.0007793017456359103,
+      "grad_norm": 0.7060822248458862,
+      "learning_rate": 4.415111107797445e-05,
+      "loss": 4.0086,
+      "step": 15
+    },
+    {
+      "epoch": 0.0008312551953449709,
+      "grad_norm": 0.34293320775032043,
+      "learning_rate": 4.2983495008466276e-05,
+      "loss": 11.5521,
+      "step": 16
+    },
+    {
+      "epoch": 0.0008832086450540316,
+      "grad_norm": 0.682274341583252,
+      "learning_rate": 4.172826515897146e-05,
+      "loss": 3.6475,
+      "step": 17
+    },
+    {
+      "epoch": 0.0009351620947630922,
+      "grad_norm": 0.7243533730506897,
+      "learning_rate": 4.039153688314145e-05,
+      "loss": 4.0459,
+      "step": 18
+    },
+    {
+      "epoch": 0.000987115544472153,
+      "grad_norm": 0.6419519186019897,
+      "learning_rate": 3.897982258676867e-05,
+      "loss": 6.2183,
+      "step": 19
+    },
+    {
+      "epoch": 0.0010390689941812137,
+      "grad_norm": 0.8105183243751526,
+      "learning_rate": 3.7500000000000003e-05,
+      "loss": 4.3719,
+      "step": 20
+    },
+    {
+      "epoch": 0.0010910224438902742,
+      "grad_norm": 0.5565342307090759,
+      "learning_rate": 3.5959278669726935e-05,
+      "loss": 3.3225,
+      "step": 21
+    },
+    {
+      "epoch": 0.001142975893599335,
+      "grad_norm": 0.9197883009910583,
+      "learning_rate": 3.436516483539781e-05,
+      "loss": 4.0731,
+      "step": 22
+    },
+    {
+      "epoch": 0.0011949293433083958,
+      "grad_norm": 0.710243284702301,
+      "learning_rate": 3.272542485937369e-05,
+      "loss": 3.0375,
+      "step": 23
+    },
+    {
+      "epoch": 0.0012468827930174563,
+      "grad_norm": 0.7943474650382996,
+      "learning_rate": 3.104804738999169e-05,
+      "loss": 3.1489,
+      "step": 24
+    },
+    {
+      "epoch": 0.001298836242726517,
+      "grad_norm": 0.9444668889045715,
+      "learning_rate": 2.9341204441673266e-05,
+      "loss": 3.802,
+      "step": 25
+    },
+    {
+      "epoch": 0.0013507896924355777,
+      "grad_norm": 0.7393707633018494,
+      "learning_rate": 2.761321158169134e-05,
+      "loss": 4.3187,
+      "step": 26
+    },
+    {
+      "epoch": 0.0014027431421446384,
+      "grad_norm": 0.9460581541061401,
+      "learning_rate": 2.587248741756253e-05,
+      "loss": 4.1431,
+      "step": 27
+    },
+    {
+      "epoch": 0.0014546965918536992,
+      "grad_norm": 0.8911897540092468,
+      "learning_rate": 2.4127512582437485e-05,
+      "loss": 3.6565,
+      "step": 28
+    },
+    {
+      "epoch": 0.0015066500415627597,
+      "grad_norm": 0.9491592049598694,
+      "learning_rate": 2.238678841830867e-05,
+      "loss": 3.8242,
+      "step": 29
+    },
+    {
+      "epoch": 0.0015586034912718205,
+      "grad_norm": 0.9719251394271851,
+      "learning_rate": 2.0658795558326743e-05,
+      "loss": 3.4834,
+      "step": 30
+    },
+    {
+      "epoch": 0.001610556940980881,
+      "grad_norm": 0.9136457443237305,
+      "learning_rate": 1.895195261000831e-05,
+      "loss": 5.4603,
+      "step": 31
+    },
+    {
+      "epoch": 0.0016625103906899418,
+      "grad_norm": 1.1147466897964478,
+      "learning_rate": 1.7274575140626318e-05,
+      "loss": 2.776,
+      "step": 32
+    },
+    {
+      "epoch": 0.0017144638403990024,
+      "grad_norm": 1.168950080871582,
+      "learning_rate": 1.56348351646022e-05,
+      "loss": 6.0062,
+      "step": 33
+    },
+    {
+      "epoch": 0.0017664172901080632,
+      "grad_norm": 0.9625309109687805,
+      "learning_rate": 1.4040721330273062e-05,
+      "loss": 3.677,
+      "step": 34
+    },
+    {
+      "epoch": 0.001818370739817124,
+      "grad_norm": 1.099805474281311,
+      "learning_rate": 1.2500000000000006e-05,
+      "loss": 4.4438,
+      "step": 35
+    },
+    {
+      "epoch": 0.0018703241895261845,
+      "grad_norm": 1.117089867591858,
+      "learning_rate": 1.1020177413231334e-05,
+      "loss": 3.9246,
+      "step": 36
+    },
+    {
+      "epoch": 0.0019222776392352453,
+      "grad_norm": 1.025370717048645,
+      "learning_rate": 9.608463116858542e-06,
+      "loss": 4.1575,
+      "step": 37
+    },
+    {
+      "epoch": 0.001974231088944306,
+      "grad_norm": 0.6934594511985779,
+      "learning_rate": 8.271734841028553e-06,
+      "loss": 2.9733,
+      "step": 38
+    },
+    {
+      "epoch": 0.0020261845386533666,
+      "grad_norm": 0.980570375919342,
+      "learning_rate": 7.016504991533726e-06,
+      "loss": 6.5256,
+      "step": 39
+    },
+    {
+      "epoch": 0.0020781379883624274,
+      "grad_norm": 1.1663200855255127,
+      "learning_rate": 5.848888922025553e-06,
+      "loss": 4.696,
+      "step": 40
+    },
+    {
+      "epoch": 0.002130091438071488,
+      "grad_norm": 1.1429848670959473,
+      "learning_rate": 4.7745751406263165e-06,
+      "loss": 3.8524,
+      "step": 41
+    },
+    {
+      "epoch": 0.0021820448877805485,
+      "grad_norm": 0.39903584122657776,
+      "learning_rate": 3.798797596089351e-06,
+      "loss": 8.6591,
+      "step": 42
+    },
+    {
+      "epoch": 0.0022339983374896092,
+      "grad_norm": 0.8342665433883667,
+      "learning_rate": 2.9263101785268254e-06,
+      "loss": 5.6047,
+      "step": 43
+    },
+    {
+      "epoch": 0.00228595178719867,
+      "grad_norm": 1.1964373588562012,
+      "learning_rate": 2.1613635589349756e-06,
+      "loss": 4.8146,
+      "step": 44
+    },
+    {
+      "epoch": 0.0023379052369077308,
+      "grad_norm": 1.1753668785095215,
+      "learning_rate": 1.5076844803522922e-06,
+      "loss": 4.9578,
+      "step": 45
+    },
+    {
+      "epoch": 0.0023898586866167915,
+      "grad_norm": 0.7276975512504578,
+      "learning_rate": 9.684576015420278e-07,
+      "loss": 3.2606,
+      "step": 46
+    },
+    {
+      "epoch": 0.002441812136325852,
+      "grad_norm": 0.7749328017234802,
+      "learning_rate": 5.463099816548579e-07,
+      "loss": 5.6076,
+      "step": 47
+    },
+    {
+      "epoch": 0.0024937655860349127,
+      "grad_norm": 0.9183135032653809,
+      "learning_rate": 2.4329828146074095e-07,
+      "loss": 2.5721,
+      "step": 48
+    },
+    {
+      "epoch": 0.0025457190357439734,
+      "grad_norm": 0.9333743453025818,
+      "learning_rate": 6.089874350439506e-08,
+      "loss": 6.1596,
+      "step": 49
+    },
+    {
+      "epoch": 0.002597672485453034,
+      "grad_norm": 0.874055027961731,
+      "learning_rate": 0.0,
+      "loss": 2.981,
+      "step": 50
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 50,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 5.709931739086848e+16,
+  "train_batch_size": 2,
+  "trial_name": null,
+  "trial_params": null
+}

last-checkpoint/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2852733e6576804e5ab0da94903f902e7572ea52e52729003c4fb8972729ba66
+size 6776