Training in progress, epoch 0, checkpoint

last-checkpoint/README.md

@@ -0,0 +1,202 @@
+---
+base_model: unsloth/SmolLM-1.7B
+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-1.7B",
+  "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",
+    "up_proj",
+    "o_proj",
+    "v_proj",
+    "gate_proj",
+    "k_proj",
+    "q_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 sha256:8e99540a0b01d9e122429232d3db2bfea6c67b2a2b0c0bd486a56b037fee9e2b
+size 36220072

last-checkpoint/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4c1fd80de48e068459f8c64e1d8a0a8258b2521026c5b23a519fe2199d15095d
+size 18763860

last-checkpoint/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:16cda6ccb039037336239ee1c2664a24ac6dc79bcc71492044533c2fca34891b
+size 14244

last-checkpoint/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fcaddd05bf6c1cc5c89613f4644cc7156537682423f41251dfef48c1f9bc4e4b
+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 +1,233 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 0.9939879759519038,
+  "eval_steps": 32,
+  "global_step": 124,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.008016032064128256,
+      "eval_loss": 1.9255419969558716,
+      "eval_runtime": 1.728,
+      "eval_samples_per_second": 30.671,
+      "eval_steps_per_second": 15.625,
+      "step": 1
+    },
+    {
+      "epoch": 0.04008016032064128,
+      "grad_norm": 0.13588806986808777,
+      "learning_rate": 1.6666666666666667e-05,
+      "loss": 1.6094,
+      "step": 5
+    },
+    {
+      "epoch": 0.08016032064128256,
+      "grad_norm": 0.16010314226150513,
+      "learning_rate": 3.3333333333333335e-05,
+      "loss": 1.7545,
+      "step": 10
+    },
+    {
+      "epoch": 0.12024048096192384,
+      "grad_norm": 0.22482001781463623,
+      "learning_rate": 5e-05,
+      "loss": 1.8474,
+      "step": 15
+    },
+    {
+      "epoch": 0.16032064128256512,
+      "grad_norm": 0.20172171294689178,
+      "learning_rate": 6.666666666666667e-05,
+      "loss": 1.8395,
+      "step": 20
+    },
+    {
+      "epoch": 0.20040080160320642,
+      "grad_norm": 0.3302512764930725,
+      "learning_rate": 8.333333333333334e-05,
+      "loss": 1.8735,
+      "step": 25
+    },
+    {
+      "epoch": 0.24048096192384769,
+      "grad_norm": 0.3265620172023773,
+      "learning_rate": 0.0001,
+      "loss": 1.897,
+      "step": 30
+    },
+    {
+      "epoch": 0.2565130260521042,
+      "eval_loss": 1.7114530801773071,
+      "eval_runtime": 1.7112,
+      "eval_samples_per_second": 30.973,
+      "eval_steps_per_second": 15.779,
+      "step": 32
+    },
+    {
+      "epoch": 0.280561122244489,
+      "grad_norm": 0.2647479772567749,
+      "learning_rate": 9.931806517013612e-05,
+      "loss": 1.6295,
+      "step": 35
+    },
+    {
+      "epoch": 0.32064128256513025,
+      "grad_norm": 0.31674087047576904,
+      "learning_rate": 9.729086208503174e-05,
+      "loss": 1.4848,
+      "step": 40
+    },
+    {
+      "epoch": 0.36072144288577157,
+      "grad_norm": 0.34860819578170776,
+      "learning_rate": 9.397368756032445e-05,
+      "loss": 1.4407,
+      "step": 45
+    },
+    {
+      "epoch": 0.40080160320641284,
+      "grad_norm": 0.36754506826400757,
+      "learning_rate": 8.945702546981969e-05,
+      "loss": 1.4599,
+      "step": 50
+    },
+    {
+      "epoch": 0.4408817635270541,
+      "grad_norm": 0.4718535542488098,
+      "learning_rate": 8.386407858128706e-05,
+      "loss": 1.494,
+      "step": 55
+    },
+    {
+      "epoch": 0.48096192384769537,
+      "grad_norm": 0.44895780086517334,
+      "learning_rate": 7.734740790612136e-05,
+      "loss": 1.3686,
+      "step": 60
+    },
+    {
+      "epoch": 0.5130260521042084,
+      "eval_loss": 1.3507245779037476,
+      "eval_runtime": 1.7092,
+      "eval_samples_per_second": 31.009,
+      "eval_steps_per_second": 15.797,
+      "step": 64
+    },
+    {
+      "epoch": 0.5210420841683366,
+      "grad_norm": 0.4155556857585907,
+      "learning_rate": 7.008477123264848e-05,
+      "loss": 1.3898,
+      "step": 65
+    },
+    {
+      "epoch": 0.561122244488978,
+      "grad_norm": 0.3329876661300659,
+      "learning_rate": 6.227427435703997e-05,
+      "loss": 1.256,
+      "step": 70
+    },
+    {
+      "epoch": 0.6012024048096193,
+      "grad_norm": 0.35974693298339844,
+      "learning_rate": 5.4128967273616625e-05,
+      "loss": 1.2483,
+      "step": 75
+    },
+    {
+      "epoch": 0.6412825651302605,
+      "grad_norm": 0.38245144486427307,
+      "learning_rate": 4.5871032726383386e-05,
+      "loss": 1.24,
+      "step": 80
+    },
+    {
+      "epoch": 0.6813627254509018,
+      "grad_norm": 0.3876368999481201,
+      "learning_rate": 3.772572564296005e-05,
+      "loss": 1.2751,
+      "step": 85
+    },
+    {
+      "epoch": 0.7214428857715431,
+      "grad_norm": 0.4511187672615051,
+      "learning_rate": 2.991522876735154e-05,
+      "loss": 1.328,
+      "step": 90
+    },
+    {
+      "epoch": 0.7615230460921844,
+      "grad_norm": 0.35906171798706055,
+      "learning_rate": 2.2652592093878666e-05,
+      "loss": 1.2162,
+      "step": 95
+    },
+    {
+      "epoch": 0.7695390781563126,
+      "eval_loss": 1.2686041593551636,
+      "eval_runtime": 1.7108,
+      "eval_samples_per_second": 30.979,
+      "eval_steps_per_second": 15.782,
+      "step": 96
+    },
+    {
+      "epoch": 0.8016032064128257,
+      "grad_norm": 0.37810012698173523,
+      "learning_rate": 1.6135921418712956e-05,
+      "loss": 1.3341,
+      "step": 100
+    },
+    {
+      "epoch": 0.8416833667334669,
+      "grad_norm": 0.406786173582077,
+      "learning_rate": 1.0542974530180327e-05,
+      "loss": 1.2894,
+      "step": 105
+    },
+    {
+      "epoch": 0.8817635270541082,
+      "grad_norm": 0.3965968191623688,
+      "learning_rate": 6.026312439675552e-06,
+      "loss": 1.2744,
+      "step": 110
+    },
+    {
+      "epoch": 0.9218436873747495,
+      "grad_norm": 0.37193533778190613,
+      "learning_rate": 2.7091379149682685e-06,
+      "loss": 1.1671,
+      "step": 115
+    },
+    {
+      "epoch": 0.9619238476953907,
+      "grad_norm": 0.4367169141769409,
+      "learning_rate": 6.819348298638839e-07,
+      "loss": 1.2177,
+      "step": 120
+    }
+  ],
+  "logging_steps": 5,
+  "max_steps": 125,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 2,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 9892076627951616.0,
+  "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:c91bef6369e0fdabf646528bd215014479b2a2c1f9c02659124892d34917dba4
+size 6776