Training in progress, epoch 0, checkpoint

last-checkpoint/README.md

@@ -0,0 +1,202 @@
+---
+base_model: unsloth/SmolLM-360M
+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": "unsloth/SmolLM-360M",
+  "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": [
+    "down_proj",
+    "q_proj",
+    "o_proj",
+    "up_proj",
+    "v_proj",
+    "k_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 sha256:6512bb525177a6ea7e39acfea337b40ebdc31c7121d391e96457ce8834f92171
+size 17425352

last-checkpoint/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ae72238a34c7a93ebcf60c19ab0aed68e3c4f981edb2b22eab802b4c9ea6ff3c
+size 10251668

last-checkpoint/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d6e6a39c60c1d4c287b0462d872ca333222501b5da17e4180d4e6c14a3d88c3c
+size 14244

last-checkpoint/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d2d754412c61116546142914503e7369d0cc35d3c380a07e5218f595d76b6d96
+size 1064

last-checkpoint/special_tokens_map.json

@@ -0,0 +1,49 @@
+{
+  "additional_special_tokens": [
+    "<|endoftext|>",
+    "<|im_start|>",
+    "<|im_end|>",
+    "<repo_name>",
+    "<reponame>",
+    "<file_sep>",
+    "<filename>",
+    "<gh_stars>",
+    "<issue_start>",
+    "<issue_comment>",
+    "<issue_closed>",
+    "<jupyter_start>",
+    "<jupyter_text>",
+    "<jupyter_code>",
+    "<jupyter_output>",
+    "<jupyter_script>",
+    "<empty_output>"
+  ],
+  "bos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<empty_output>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

last-checkpoint/tokenizer_config.json

@@ -0,0 +1,170 @@
+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "3": {
+      "content": "<repo_name>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "4": {
+      "content": "<reponame>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "5": {
+      "content": "<file_sep>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "6": {
+      "content": "<filename>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "7": {
+      "content": "<gh_stars>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "8": {
+      "content": "<issue_start>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "9": {
+      "content": "<issue_comment>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "10": {
+      "content": "<issue_closed>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "11": {
+      "content": "<jupyter_start>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "12": {
+      "content": "<jupyter_text>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "13": {
+      "content": "<jupyter_code>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "14": {
+      "content": "<jupyter_output>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "15": {
+      "content": "<jupyter_script>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "16": {
+      "content": "<empty_output>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "<|endoftext|>",
+    "<|im_start|>",
+    "<|im_end|>",
+    "<repo_name>",
+    "<reponame>",
+    "<file_sep>",
+    "<filename>",
+    "<gh_stars>",
+    "<issue_start>",
+    "<issue_comment>",
+    "<issue_closed>",
+    "<jupyter_start>",
+    "<jupyter_text>",
+    "<jupyter_code>",
+    "<jupyter_output>",
+    "<jupyter_script>",
+    "<empty_output>"
+  ],
+  "bos_token": "<|endoftext|>",
+  "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": "<|endoftext|>",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<empty_output>",
+  "padding_side": "left",
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": "<|endoftext|>",
+  "vocab_size": 49152
+}

last-checkpoint/trainer_state.json

@@ -0,0 +1,353 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 0.006941431670281995,
+  "eval_steps": 50,
+  "global_step": 200,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 3.470715835140998e-05,
+      "eval_loss": 1.488693118095398,
+      "eval_runtime": 333.2635,
+      "eval_samples_per_second": 36.404,
+      "eval_steps_per_second": 18.202,
+      "step": 1
+    },
+    {
+      "epoch": 0.0001735357917570499,
+      "grad_norm": 0.0363650768995285,
+      "learning_rate": 5e-05,
+      "loss": 0.7421,
+      "step": 5
+    },
+    {
+      "epoch": 0.0003470715835140998,
+      "grad_norm": 0.04388673976063728,
+      "learning_rate": 0.0001,
+      "loss": 0.9049,
+      "step": 10
+    },
+    {
+      "epoch": 0.0005206073752711496,
+      "grad_norm": 0.04997824877500534,
+      "learning_rate": 9.98292246503335e-05,
+      "loss": 0.9169,
+      "step": 15
+    },
+    {
+      "epoch": 0.0006941431670281996,
+      "grad_norm": 0.07242757081985474,
+      "learning_rate": 9.931806517013612e-05,
+      "loss": 0.9632,
+      "step": 20
+    },
+    {
+      "epoch": 0.0008676789587852494,
+      "grad_norm": 0.08268485963344574,
+      "learning_rate": 9.847001329696653e-05,
+      "loss": 1.1005,
+      "step": 25
+    },
+    {
+      "epoch": 0.0010412147505422993,
+      "grad_norm": 0.09746357053518295,
+      "learning_rate": 9.729086208503174e-05,
+      "loss": 1.3431,
+      "step": 30
+    },
+    {
+      "epoch": 0.0012147505422993492,
+      "grad_norm": 0.179508239030838,
+      "learning_rate": 9.578866633275288e-05,
+      "loss": 1.4761,
+      "step": 35
+    },
+    {
+      "epoch": 0.0013882863340563992,
+      "grad_norm": 0.21443940699100494,
+      "learning_rate": 9.397368756032445e-05,
+      "loss": 1.8133,
+      "step": 40
+    },
+    {
+      "epoch": 0.001561822125813449,
+      "grad_norm": 0.4208425283432007,
+      "learning_rate": 9.185832391312644e-05,
+      "loss": 2.0637,
+      "step": 45
+    },
+    {
+      "epoch": 0.0017353579175704988,
+      "grad_norm": 0.8397026062011719,
+      "learning_rate": 8.945702546981969e-05,
+      "loss": 3.094,
+      "step": 50
+    },
+    {
+      "epoch": 0.0017353579175704988,
+      "eval_loss": 1.4274080991744995,
+      "eval_runtime": 331.799,
+      "eval_samples_per_second": 36.564,
+      "eval_steps_per_second": 18.282,
+      "step": 50
+    },
+    {
+      "epoch": 0.0019088937093275488,
+      "grad_norm": 0.04962216690182686,
+      "learning_rate": 8.678619553365659e-05,
+      "loss": 0.7878,
+      "step": 55
+    },
+    {
+      "epoch": 0.0020824295010845985,
+      "grad_norm": 0.06914501637220383,
+      "learning_rate": 8.386407858128706e-05,
+      "loss": 0.9213,
+      "step": 60
+    },
+    {
+      "epoch": 0.0022559652928416485,
+      "grad_norm": 0.0765681117773056,
+      "learning_rate": 8.07106356344834e-05,
+      "loss": 0.9687,
+      "step": 65
+    },
+    {
+      "epoch": 0.0024295010845986984,
+      "grad_norm": 0.08268511295318604,
+      "learning_rate": 7.734740790612136e-05,
+      "loss": 1.0734,
+      "step": 70
+    },
+    {
+      "epoch": 0.0026030368763557484,
+      "grad_norm": 0.09841444343328476,
+      "learning_rate": 7.379736965185368e-05,
+      "loss": 1.1728,
+      "step": 75
+    },
+    {
+      "epoch": 0.0027765726681127983,
+      "grad_norm": 0.14268898963928223,
+      "learning_rate": 7.008477123264848e-05,
+      "loss": 1.3481,
+      "step": 80
+    },
+    {
+      "epoch": 0.0029501084598698483,
+      "grad_norm": 0.21441680192947388,
+      "learning_rate": 6.623497346023418e-05,
+      "loss": 1.429,
+      "step": 85
+    },
+    {
+      "epoch": 0.003123644251626898,
+      "grad_norm": 0.22959406673908234,
+      "learning_rate": 6.227427435703997e-05,
+      "loss": 1.6465,
+      "step": 90
+    },
+    {
+      "epoch": 0.0032971800433839477,
+      "grad_norm": 0.46887078881263733,
+      "learning_rate": 5.8229729514036705e-05,
+      "loss": 1.7265,
+      "step": 95
+    },
+    {
+      "epoch": 0.0034707158351409977,
+      "grad_norm": 1.4313136339187622,
+      "learning_rate": 5.4128967273616625e-05,
+      "loss": 3.0376,
+      "step": 100
+    },
+    {
+      "epoch": 0.0034707158351409977,
+      "eval_loss": 1.3536286354064941,
+      "eval_runtime": 331.6476,
+      "eval_samples_per_second": 36.581,
+      "eval_steps_per_second": 18.29,
+      "step": 100
+    },
+    {
+      "epoch": 0.0036442516268980476,
+      "grad_norm": 0.0890691876411438,
+      "learning_rate": 5e-05,
+      "loss": 0.8272,
+      "step": 105
+    },
+    {
+      "epoch": 0.0038177874186550976,
+      "grad_norm": 0.08088309317827225,
+      "learning_rate": 4.5871032726383386e-05,
+      "loss": 0.8692,
+      "step": 110
+    },
+    {
+      "epoch": 0.0039913232104121475,
+      "grad_norm": 0.08706238865852356,
+      "learning_rate": 4.17702704859633e-05,
+      "loss": 0.9777,
+      "step": 115
+    },
+    {
+      "epoch": 0.004164859002169197,
+      "grad_norm": 0.10868410766124725,
+      "learning_rate": 3.772572564296005e-05,
+      "loss": 0.9109,
+      "step": 120
+    },
+    {
+      "epoch": 0.004338394793926247,
+      "grad_norm": 0.12020254135131836,
+      "learning_rate": 3.3765026539765834e-05,
+      "loss": 1.1462,
+      "step": 125
+    },
+    {
+      "epoch": 0.004511930585683297,
+      "grad_norm": 0.17492125928401947,
+      "learning_rate": 2.991522876735154e-05,
+      "loss": 1.2319,
+      "step": 130
+    },
+    {
+      "epoch": 0.004685466377440347,
+      "grad_norm": 0.21846410632133484,
+      "learning_rate": 2.6202630348146324e-05,
+      "loss": 1.505,
+      "step": 135
+    },
+    {
+      "epoch": 0.004859002169197397,
+      "grad_norm": 0.3237517476081848,
+      "learning_rate": 2.2652592093878666e-05,
+      "loss": 1.6528,
+      "step": 140
+    },
+    {
+      "epoch": 0.005032537960954447,
+      "grad_norm": 0.5105227828025818,
+      "learning_rate": 1.928936436551661e-05,
+      "loss": 1.8486,
+      "step": 145
+    },
+    {
+      "epoch": 0.005206073752711497,
+      "grad_norm": 1.2406115531921387,
+      "learning_rate": 1.6135921418712956e-05,
+      "loss": 2.7017,
+      "step": 150
+    },
+    {
+      "epoch": 0.005206073752711497,
+      "eval_loss": 1.3264102935791016,
+      "eval_runtime": 334.9033,
+      "eval_samples_per_second": 36.225,
+      "eval_steps_per_second": 18.113,
+      "step": 150
+    },
+    {
+      "epoch": 0.005379609544468546,
+      "grad_norm": 0.07182818651199341,
+      "learning_rate": 1.3213804466343421e-05,
+      "loss": 0.6991,
+      "step": 155
+    },
+    {
+      "epoch": 0.005553145336225597,
+      "grad_norm": 0.07443557679653168,
+      "learning_rate": 1.0542974530180327e-05,
+      "loss": 0.8821,
+      "step": 160
+    },
+    {
+      "epoch": 0.005726681127982646,
+      "grad_norm": 0.08473718911409378,
+      "learning_rate": 8.141676086873572e-06,
+      "loss": 0.9581,
+      "step": 165
+    },
+    {
+      "epoch": 0.0059002169197396965,
+      "grad_norm": 0.10495265573263168,
+      "learning_rate": 6.026312439675552e-06,
+      "loss": 0.9973,
+      "step": 170
+    },
+    {
+      "epoch": 0.006073752711496746,
+      "grad_norm": 0.11671217530965805,
+      "learning_rate": 4.2113336672471245e-06,
+      "loss": 1.1315,
+      "step": 175
+    },
+    {
+      "epoch": 0.006247288503253796,
+      "grad_norm": 0.19537697732448578,
+      "learning_rate": 2.7091379149682685e-06,
+      "loss": 1.1631,
+      "step": 180
+    },
+    {
+      "epoch": 0.006420824295010846,
+      "grad_norm": 0.1836855262517929,
+      "learning_rate": 1.5299867030334814e-06,
+      "loss": 1.2259,
+      "step": 185
+    },
+    {
+      "epoch": 0.0065943600867678955,
+      "grad_norm": 0.27528730034828186,
+      "learning_rate": 6.819348298638839e-07,
+      "loss": 1.5324,
+      "step": 190
+    },
+    {
+      "epoch": 0.006767895878524946,
+      "grad_norm": 0.41066810488700867,
+      "learning_rate": 1.7077534966650766e-07,
+      "loss": 2.0259,
+      "step": 195
+    },
+    {
+      "epoch": 0.006941431670281995,
+      "grad_norm": 1.2721341848373413,
+      "learning_rate": 0.0,
+      "loss": 2.6547,
+      "step": 200
+    },
+    {
+      "epoch": 0.006941431670281995,
+      "eval_loss": 1.3213353157043457,
+      "eval_runtime": 333.0889,
+      "eval_samples_per_second": 36.423,
+      "eval_steps_per_second": 18.211,
+      "step": 200
+    }
+  ],
+  "logging_steps": 5,
+  "max_steps": 200,
+  "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": 3202304118620160.0,
+  "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 sha256:99930fad1230bf0dbf45717e7eeda329afe8f4f81f582b2f88ac29180afd3708
+size 6776