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",
+    "gate_proj",
+    "v_proj",
+    "q_proj",
+    "k_proj",
+    "o_proj",
+    "up_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:b9a3871df4fa45762f243db530ab1e0e9d00ef8e75716598912c851f730ff76b
+size 17425352

last-checkpoint/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6d697f301280dd02471ac649d0f2254d6c776c40c6e4cdc3af92d91e8080c501
+size 10252116

last-checkpoint/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:20d68328cd63e39703194e87875b42747df0d6a8dcf94bb24d731fb3b7cfc459
+size 14244

last-checkpoint/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:705cabf5cbc3a6ab0feb67c77b9b453d59efcc939ce90d310af96e621810f990
+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 +1,633 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 0.004615766303752041,
+  "eval_steps": 100,
+  "global_step": 400,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 1.1539415759380102e-05,
+      "eval_loss": 2.6116342544555664,
+      "eval_runtime": 963.3024,
+      "eval_samples_per_second": 37.879,
+      "eval_steps_per_second": 18.94,
+      "step": 1
+    },
+    {
+      "epoch": 5.7697078796900516e-05,
+      "grad_norm": 0.10074934363365173,
+      "learning_rate": 1.6666666666666667e-05,
+      "loss": 2.2267,
+      "step": 5
+    },
+    {
+      "epoch": 0.00011539415759380103,
+      "grad_norm": 0.13795822858810425,
+      "learning_rate": 3.3333333333333335e-05,
+      "loss": 2.3436,
+      "step": 10
+    },
+    {
+      "epoch": 0.00017309123639070153,
+      "grad_norm": 0.15493352711200714,
+      "learning_rate": 5e-05,
+      "loss": 2.4926,
+      "step": 15
+    },
+    {
+      "epoch": 0.00023078831518760207,
+      "grad_norm": 0.19500400125980377,
+      "learning_rate": 6.666666666666667e-05,
+      "loss": 2.584,
+      "step": 20
+    },
+    {
+      "epoch": 0.0002884853939845026,
+      "grad_norm": 0.2148405909538269,
+      "learning_rate": 8.333333333333334e-05,
+      "loss": 2.5117,
+      "step": 25
+    },
+    {
+      "epoch": 0.00034618247278140306,
+      "grad_norm": 0.26830676198005676,
+      "learning_rate": 0.0001,
+      "loss": 2.5332,
+      "step": 30
+    },
+    {
+      "epoch": 0.0004038795515783036,
+      "grad_norm": 0.28529003262519836,
+      "learning_rate": 9.995494831023409e-05,
+      "loss": 2.5869,
+      "step": 35
+    },
+    {
+      "epoch": 0.00046157663037520413,
+      "grad_norm": 0.3338567614555359,
+      "learning_rate": 9.981987442712633e-05,
+      "loss": 2.5912,
+      "step": 40
+    },
+    {
+      "epoch": 0.0005192737091721046,
+      "grad_norm": 0.3954179584980011,
+      "learning_rate": 9.959502176294383e-05,
+      "loss": 2.5669,
+      "step": 45
+    },
+    {
+      "epoch": 0.0005769707879690051,
+      "grad_norm": 0.7015699148178101,
+      "learning_rate": 9.928079551738543e-05,
+      "loss": 2.7321,
+      "step": 50
+    },
+    {
+      "epoch": 0.0006346678667659057,
+      "grad_norm": 0.2624838054180145,
+      "learning_rate": 9.887776194738432e-05,
+      "loss": 2.1123,
+      "step": 55
+    },
+    {
+      "epoch": 0.0006923649455628061,
+      "grad_norm": 0.32643792033195496,
+      "learning_rate": 9.838664734667495e-05,
+      "loss": 2.1381,
+      "step": 60
+    },
+    {
+      "epoch": 0.0007500620243597067,
+      "grad_norm": 0.32245364785194397,
+      "learning_rate": 9.780833673696254e-05,
+      "loss": 2.1583,
+      "step": 65
+    },
+    {
+      "epoch": 0.0008077591031566072,
+      "grad_norm": 0.3583735227584839,
+      "learning_rate": 9.714387227305422e-05,
+      "loss": 2.1498,
+      "step": 70
+    },
+    {
+      "epoch": 0.0008654561819535077,
+      "grad_norm": 0.42148590087890625,
+      "learning_rate": 9.639445136482548e-05,
+      "loss": 2.1263,
+      "step": 75
+    },
+    {
+      "epoch": 0.0009231532607504083,
+      "grad_norm": 0.4721578359603882,
+      "learning_rate": 9.55614245194068e-05,
+      "loss": 2.1456,
+      "step": 80
+    },
+    {
+      "epoch": 0.0009808503395473088,
+      "grad_norm": 0.45783913135528564,
+      "learning_rate": 9.464629290747842e-05,
+      "loss": 2.0714,
+      "step": 85
+    },
+    {
+      "epoch": 0.0010385474183442092,
+      "grad_norm": 0.5551944971084595,
+      "learning_rate": 9.365070565805941e-05,
+      "loss": 2.0272,
+      "step": 90
+    },
+    {
+      "epoch": 0.0010962444971411097,
+      "grad_norm": 0.5281091332435608,
+      "learning_rate": 9.257645688666556e-05,
+      "loss": 1.8899,
+      "step": 95
+    },
+    {
+      "epoch": 0.0011539415759380103,
+      "grad_norm": 0.8300865888595581,
+      "learning_rate": 9.142548246219212e-05,
+      "loss": 1.8428,
+      "step": 100
+    },
+    {
+      "epoch": 0.0011539415759380103,
+      "eval_loss": 1.8705904483795166,
+      "eval_runtime": 962.77,
+      "eval_samples_per_second": 37.9,
+      "eval_steps_per_second": 18.951,
+      "step": 100
+    },
+    {
+      "epoch": 0.0012116386547349107,
+      "grad_norm": 0.38176557421684265,
+      "learning_rate": 9.019985651834703e-05,
+      "loss": 1.9289,
+      "step": 105
+    },
+    {
+      "epoch": 0.0012693357335318114,
+      "grad_norm": 0.40435314178466797,
+      "learning_rate": 8.890178771592199e-05,
+      "loss": 1.9484,
+      "step": 110
+    },
+    {
+      "epoch": 0.0013270328123287118,
+      "grad_norm": 0.41454848647117615,
+      "learning_rate": 8.753361526263621e-05,
+      "loss": 1.8564,
+      "step": 115
+    },
+    {
+      "epoch": 0.0013847298911256122,
+      "grad_norm": 0.3869158625602722,
+      "learning_rate": 8.609780469772623e-05,
+      "loss": 1.7796,
+      "step": 120
+    },
+    {
+      "epoch": 0.0014424269699225129,
+      "grad_norm": 0.45108917355537415,
+      "learning_rate": 8.459694344887732e-05,
+      "loss": 1.807,
+      "step": 125
+    },
+    {
+      "epoch": 0.0015001240487194133,
+      "grad_norm": 0.5212119817733765,
+      "learning_rate": 8.303373616950408e-05,
+      "loss": 1.7816,
+      "step": 130
+    },
+    {
+      "epoch": 0.001557821127516314,
+      "grad_norm": 0.4871671795845032,
+      "learning_rate": 8.141099986478212e-05,
+      "loss": 1.7782,
+      "step": 135
+    },
+    {
+      "epoch": 0.0016155182063132144,
+      "grad_norm": 0.590176522731781,
+      "learning_rate": 7.973165881521434e-05,
+      "loss": 1.6827,
+      "step": 140
+    },
+    {
+      "epoch": 0.0016732152851101148,
+      "grad_norm": 0.5965710282325745,
+      "learning_rate": 7.799873930687978e-05,
+      "loss": 1.7181,
+      "step": 145
+    },
+    {
+      "epoch": 0.0017309123639070154,
+      "grad_norm": 0.9051038026809692,
+      "learning_rate": 7.621536417786159e-05,
+      "loss": 1.7685,
+      "step": 150
+    },
+    {
+      "epoch": 0.0017886094427039159,
+      "grad_norm": 0.38182660937309265,
+      "learning_rate": 7.438474719068173e-05,
+      "loss": 1.9226,
+      "step": 155
+    },
+    {
+      "epoch": 0.0018463065215008165,
+      "grad_norm": 0.48448461294174194,
+      "learning_rate": 7.251018724088367e-05,
+      "loss": 1.9197,
+      "step": 160
+    },
+    {
+      "epoch": 0.001904003600297717,
+      "grad_norm": 0.4199281334877014,
+      "learning_rate": 7.059506241219965e-05,
+      "loss": 1.8433,
+      "step": 165
+    },
+    {
+      "epoch": 0.0019617006790946176,
+      "grad_norm": 0.4792007505893707,
+      "learning_rate": 6.864282388901544e-05,
+      "loss": 1.7767,
+      "step": 170
+    },
+    {
+      "epoch": 0.002019397757891518,
+      "grad_norm": 0.5187090635299683,
+      "learning_rate": 6.665698973710288e-05,
+      "loss": 1.7417,
+      "step": 175
+    },
+    {
+      "epoch": 0.0020770948366884185,
+      "grad_norm": 0.4906215965747833,
+      "learning_rate": 6.464113856382752e-05,
+      "loss": 1.7668,
+      "step": 180
+    },
+    {
+      "epoch": 0.002134791915485319,
+      "grad_norm": 0.5257192254066467,
+      "learning_rate": 6.259890306925627e-05,
+      "loss": 1.6353,
+      "step": 185
+    },
+    {
+      "epoch": 0.0021924889942822193,
+      "grad_norm": 0.5866225957870483,
+      "learning_rate": 6.0533963499786314e-05,
+      "loss": 1.7546,
+      "step": 190
+    },
+    {
+      "epoch": 0.00225018607307912,
+      "grad_norm": 0.6971685290336609,
+      "learning_rate": 5.8450041016092464e-05,
+      "loss": 1.6497,
+      "step": 195
+    },
+    {
+      "epoch": 0.0023078831518760206,
+      "grad_norm": 1.1953887939453125,
+      "learning_rate": 5.6350890987343944e-05,
+      "loss": 1.6536,
+      "step": 200
+    },
+    {
+      "epoch": 0.0023078831518760206,
+      "eval_loss": 1.7406009435653687,
+      "eval_runtime": 960.4655,
+      "eval_samples_per_second": 37.991,
+      "eval_steps_per_second": 18.996,
+      "step": 200
+    },
+    {
+      "epoch": 0.0023655802306729212,
+      "grad_norm": 0.4501577317714691,
+      "learning_rate": 5.4240296223775465e-05,
+      "loss": 1.8511,
+      "step": 205
+    },
+    {
+      "epoch": 0.0024232773094698215,
+      "grad_norm": 0.4853840470314026,
+      "learning_rate": 5.212206015980742e-05,
+      "loss": 1.86,
+      "step": 210
+    },
+    {
+      "epoch": 0.002480974388266722,
+      "grad_norm": 0.5209008455276489,
+      "learning_rate": 5e-05,
+      "loss": 1.7783,
+      "step": 215
+    },
+    {
+      "epoch": 0.0025386714670636227,
+      "grad_norm": 0.5276066064834595,
+      "learning_rate": 4.78779398401926e-05,
+      "loss": 1.7463,
+      "step": 220
+    },
+    {
+      "epoch": 0.002596368545860523,
+      "grad_norm": 0.5926941633224487,
+      "learning_rate": 4.575970377622456e-05,
+      "loss": 1.6383,
+      "step": 225
+    },
+    {
+      "epoch": 0.0026540656246574236,
+      "grad_norm": 0.6365469694137573,
+      "learning_rate": 4.364910901265606e-05,
+      "loss": 1.7336,
+      "step": 230
+    },
+    {
+      "epoch": 0.0027117627034543242,
+      "grad_norm": 0.6373388171195984,
+      "learning_rate": 4.1549958983907555e-05,
+      "loss": 1.6353,
+      "step": 235
+    },
+    {
+      "epoch": 0.0027694597822512245,
+      "grad_norm": 0.6907333731651306,
+      "learning_rate": 3.94660365002137e-05,
+      "loss": 1.5492,
+      "step": 240
+    },
+    {
+      "epoch": 0.002827156861048125,
+      "grad_norm": 0.7751602530479431,
+      "learning_rate": 3.740109693074375e-05,
+      "loss": 1.661,
+      "step": 245
+    },
+    {
+      "epoch": 0.0028848539398450257,
+      "grad_norm": 0.8952168822288513,
+      "learning_rate": 3.5358861436172485e-05,
+      "loss": 1.6128,
+      "step": 250
+    },
+    {
+      "epoch": 0.002942551018641926,
+      "grad_norm": 0.46908143162727356,
+      "learning_rate": 3.334301026289712e-05,
+      "loss": 1.8182,
+      "step": 255
+    },
+    {
+      "epoch": 0.0030002480974388266,
+      "grad_norm": 0.4967330992221832,
+      "learning_rate": 3.135717611098458e-05,
+      "loss": 1.849,
+      "step": 260
+    },
+    {
+      "epoch": 0.0030579451762357272,
+      "grad_norm": 0.529554545879364,
+      "learning_rate": 2.9404937587800375e-05,
+      "loss": 1.817,
+      "step": 265
+    },
+    {
+      "epoch": 0.003115642255032628,
+      "grad_norm": 0.5606085658073425,
+      "learning_rate": 2.748981275911633e-05,
+      "loss": 1.7628,
+      "step": 270
+    },
+    {
+      "epoch": 0.003173339333829528,
+      "grad_norm": 0.5795584917068481,
+      "learning_rate": 2.5615252809318284e-05,
+      "loss": 1.6654,
+      "step": 275
+    },
+    {
+      "epoch": 0.0032310364126264287,
+      "grad_norm": 0.6071023344993591,
+      "learning_rate": 2.3784635822138424e-05,
+      "loss": 1.6112,
+      "step": 280
+    },
+    {
+      "epoch": 0.0032887334914233294,
+      "grad_norm": 0.6555030345916748,
+      "learning_rate": 2.2001260693120233e-05,
+      "loss": 1.625,
+      "step": 285
+    },
+    {
+      "epoch": 0.0033464305702202296,
+      "grad_norm": 0.7921385169029236,
+      "learning_rate": 2.026834118478567e-05,
+      "loss": 1.7255,
+      "step": 290
+    },
+    {
+      "epoch": 0.0034041276490171303,
+      "grad_norm": 0.7531300783157349,
+      "learning_rate": 1.858900013521788e-05,
+      "loss": 1.598,
+      "step": 295
+    },
+    {
+      "epoch": 0.003461824727814031,
+      "grad_norm": 1.1491597890853882,
+      "learning_rate": 1.6966263830495936e-05,
+      "loss": 1.5894,
+      "step": 300
+    },
+    {
+      "epoch": 0.003461824727814031,
+      "eval_loss": 1.696458339691162,
+      "eval_runtime": 957.4278,
+      "eval_samples_per_second": 38.111,
+      "eval_steps_per_second": 19.056,
+      "step": 300
+    },
+    {
+      "epoch": 0.003519521806610931,
+      "grad_norm": 0.4294973611831665,
+      "learning_rate": 1.5403056551122697e-05,
+      "loss": 1.8232,
+      "step": 305
+    },
+    {
+      "epoch": 0.0035772188854078318,
+      "grad_norm": 0.48770248889923096,
+      "learning_rate": 1.3902195302273779e-05,
+      "loss": 1.7483,
+      "step": 310
+    },
+    {
+      "epoch": 0.0036349159642047324,
+      "grad_norm": 0.5328405499458313,
+      "learning_rate": 1.246638473736378e-05,
+      "loss": 1.7723,
+      "step": 315
+    },
+    {
+      "epoch": 0.003692613043001633,
+      "grad_norm": 0.584344208240509,
+      "learning_rate": 1.1098212284078036e-05,
+      "loss": 1.6877,
+      "step": 320
+    },
+    {
+      "epoch": 0.0037503101217985333,
+      "grad_norm": 0.6256000995635986,
+      "learning_rate": 9.800143481652979e-06,
+      "loss": 1.7171,
+      "step": 325
+    },
+    {
+      "epoch": 0.003808007200595434,
+      "grad_norm": 0.6042689681053162,
+      "learning_rate": 8.574517537807897e-06,
+      "loss": 1.6601,
+      "step": 330
+    },
+    {
+      "epoch": 0.0038657042793923345,
+      "grad_norm": 0.7034847736358643,
+      "learning_rate": 7.423543113334436e-06,
+      "loss": 1.6067,
+      "step": 335
+    },
+    {
+      "epoch": 0.003923401358189235,
+      "grad_norm": 0.7719807624816895,
+      "learning_rate": 6.349294341940593e-06,
+      "loss": 1.5586,
+      "step": 340
+    },
+    {
+      "epoch": 0.003981098436986135,
+      "grad_norm": 0.9979642033576965,
+      "learning_rate": 5.353707092521582e-06,
+      "loss": 1.6876,
+      "step": 345
+    },
+    {
+      "epoch": 0.004038795515783036,
+      "grad_norm": 1.4790928363800049,
+      "learning_rate": 4.43857548059321e-06,
+      "loss": 1.5962,
+      "step": 350
+    },
+    {
+      "epoch": 0.004096492594579937,
+      "grad_norm": 0.45558443665504456,
+      "learning_rate": 3.605548635174533e-06,
+      "loss": 1.8923,
+      "step": 355
+    },
+    {
+      "epoch": 0.004154189673376837,
+      "grad_norm": 0.5109541416168213,
+      "learning_rate": 2.85612772694579e-06,
+      "loss": 1.8088,
+      "step": 360
+    },
+    {
+      "epoch": 0.004211886752173737,
+      "grad_norm": 0.4755468964576721,
+      "learning_rate": 2.191663263037458e-06,
+      "loss": 1.7673,
+      "step": 365
+    },
+    {
+      "epoch": 0.004269583830970638,
+      "grad_norm": 0.6231192946434021,
+      "learning_rate": 1.6133526533250565e-06,
+      "loss": 1.8191,
+      "step": 370
+    },
+    {
+      "epoch": 0.004327280909767538,
+      "grad_norm": 0.691005289554596,
+      "learning_rate": 1.1222380526156928e-06,
+      "loss": 1.6029,
+      "step": 375
+    },
+    {
+      "epoch": 0.004384977988564439,
+      "grad_norm": 0.6638383269309998,
+      "learning_rate": 7.192044826145771e-07,
+      "loss": 1.6519,
+      "step": 380
+    },
+    {
+      "epoch": 0.00444267506736134,
+      "grad_norm": 0.6720619201660156,
+      "learning_rate": 4.049782370561583e-07,
+      "loss": 1.6002,
+      "step": 385
+    },
+    {
+      "epoch": 0.00450037214615824,
+      "grad_norm": 0.6364055871963501,
+      "learning_rate": 1.8012557287367392e-07,
+      "loss": 1.5384,
+      "step": 390
+    },
+    {
+      "epoch": 0.00455806922495514,
+      "grad_norm": 0.8002621531486511,
+      "learning_rate": 4.5051689765929214e-08,
+      "loss": 1.6922,
+      "step": 395
+    },
+    {
+      "epoch": 0.004615766303752041,
+      "grad_norm": 1.0289967060089111,
+      "learning_rate": 0.0,
+      "loss": 1.516,
+      "step": 400
+    },
+    {
+      "epoch": 0.004615766303752041,
+      "eval_loss": 1.690679907798767,
+      "eval_runtime": 958.463,
+      "eval_samples_per_second": 38.07,
+      "eval_steps_per_second": 19.036,
+      "step": 400
+    }
+  ],
+  "logging_steps": 5,
+  "max_steps": 400,
+  "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": 6271342215168000.0,
+  "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:a60cba31e69c52c53ba2d6c697787142b4081244aeb9c7c28ac1c8de7a8e655d
+size 6776