Model save
Browse files- README.md +68 -0
- all_results.json +9 -0
- generation_config.json +10 -0
- train_results.json +9 -0
- trainer_state.json +806 -0
README.md
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---
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library_name: transformers
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license: llama3
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base_model: meta-llama/Meta-Llama-3-8B
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tags:
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- trl
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- sft
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- generated_from_trainer
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datasets:
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- generator
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model-index:
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- name: llama3.1-8b-gpt4o_100k_coding-fft
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# llama3.1-8b-gpt4o_100k_coding-fft
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.2535
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0003
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- train_batch_size: 2
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- eval_batch_size: 2
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 8
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 32
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- total_eval_batch_size: 16
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.5499 | 0.9991 | 539 | 2.2535 |
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### Framework versions
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- Transformers 4.45.1
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- Pytorch 2.4.1+cu121
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- Datasets 3.0.1
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- Tokenizers 0.20.0
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all_results.json
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{
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"epoch": 0.9990732159406858,
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"total_flos": 28187736145920.0,
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"train_loss": 1.0674916249259283,
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"train_runtime": 10422.8572,
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"train_samples": 116368,
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"train_samples_per_second": 1.655,
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"train_steps_per_second": 0.052
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}
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generation_config.json
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{
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"bos_token_id": 128256,
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"do_sample": true,
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"eos_token_id": 128257,
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"max_length": 4096,
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"pad_token_id": 128257,
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"temperature": 0.6,
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"top_p": 0.9,
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"transformers_version": "4.45.1"
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}
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train_results.json
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{
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"epoch": 0.9990732159406858,
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"total_flos": 28187736145920.0,
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"train_loss": 1.0674916249259283,
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"train_runtime": 10422.8572,
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"train_samples": 116368,
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"train_samples_per_second": 1.655,
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"train_steps_per_second": 0.052
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}
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trainer_state.json
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{
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"best_metric": null,
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3 |
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"best_model_checkpoint": null,
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"epoch": 0.9990732159406858,
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5 |
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"eval_steps": 500,
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"global_step": 539,
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"log_history": [
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{
|
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"epoch": 0.0018535681186283596,
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"grad_norm": 26.35410018433926,
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"learning_rate": 5.555555555555555e-06,
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"loss": 1.6809,
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"step": 1
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},
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{
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"epoch": 0.009267840593141797,
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"grad_norm": 39.94533926724377,
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"learning_rate": 2.7777777777777772e-05,
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"loss": 1.343,
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"step": 5
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},
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{
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"epoch": 0.018535681186283594,
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"grad_norm": 4.5543620999927485,
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"learning_rate": 5.5555555555555545e-05,
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"loss": 0.8749,
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"step": 10
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},
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{
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"epoch": 0.027803521779425393,
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"grad_norm": 4.24495034141875,
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