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--- |
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license: llama3.1 |
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base_model: Crystalcareai/Meta-llama-3.1-8b-instruct |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: data/sft-full |
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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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[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl) |
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<details><summary>See axolotl config</summary> |
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axolotl version: `0.4.1` |
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```yaml |
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base_model: Crystalcareai/Meta-llama-3.1-8b-instruct |
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bf16: 'True' |
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chat_template: chatml |
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dataset_prepared_path: ./sft_processed |
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dataset_processes: 12 |
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datasets: |
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- field_messages: messages |
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path: sft_dataset |
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type: sharegpt |
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deepspeed: /axolotl/deepspeed_configs/zero3_bf16.json |
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eval_batch_size: 1 |
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flash_attention: true |
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gradient_accumulation_steps: 8 |
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gradient_checkpointing: true |
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learning_rate: 5.0e-06 |
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logging_steps: 1 |
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lr_scheduler: cosine |
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micro_batch_size: 2 |
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num_epochs: 3 |
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optimizer: adamw_bnb_8bit |
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output_dir: data/sft-full |
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pad_to_sequence_len: true |
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sample_packing: true |
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save_safetensors: true |
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save_total_limit: 0 |
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saves_per_epoch: 0 |
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seed: 42 |
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sequence_len: 4096 |
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special_tokens: |
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pad_token: <|end_of_text|> |
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tf32: false |
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tokens: [] |
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use_tensorboard: true |
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val_set_size: 0 |
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``` |
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</details><br> |
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# data/sft-full |
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This model is a fine-tuned version of [Crystalcareai/Meta-llama-3.1-8b-instruct](https://huggingface.co/Crystalcareai/Meta-llama-3.1-8b-instruct) on the None dataset. |
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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: 5e-06 |
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- train_batch_size: 2 |
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- eval_batch_size: 1 |
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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: 8 |
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- total_train_batch_size: 128 |
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- total_eval_batch_size: 8 |
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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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- num_epochs: 3 |
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### Training results |
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### Framework versions |
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- Transformers 4.43.1 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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