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--- |
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license: other |
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base_model: meta-llama/Meta-Llama-3-8B |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: out |
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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/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl) |
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<details><summary>See axolotl config</summary> |
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axolotl version: `0.4.0` |
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```yaml |
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base_model: meta-llama/Meta-Llama-3-8B |
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model_type: LlamaForCausalLM |
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tokenizer_type: AutoTokenizer |
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load_in_8bit: false |
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load_in_4bit: false |
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strict: false |
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datasets: |
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- path: taozi555/bagel |
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type: sharegpt |
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# - path: jondurbin/cinematika-v0.1 |
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# type: text |
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- path: MinervaAI/Aesir-Preview |
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type: sharegpt |
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- path: Norquinal/claude_multiround_chat_30k |
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type: sharegpt |
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dataset_prepared_path: last_run_prepared |
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val_set_size: 0.05 |
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output_dir: ./out |
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chat_template: alpaca |
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sequence_len: 8192 |
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sample_packing: true |
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pad_to_sequence_len: true |
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wandb_project: waifu-8b |
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wandb_entity: |
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wandb_watch: |
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wandb_name: |
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wandb_log_model: |
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gradient_accumulation_steps: 4 |
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micro_batch_size: 2 |
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num_epochs: 2 |
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optimizer: paged_adamw_8bit |
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lr_scheduler: cosine |
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learning_rate: 2e-5 |
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train_on_inputs: false |
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group_by_length: false |
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bf16: auto |
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fp16: |
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tf32: false |
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gradient_checkpointing: true |
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gradient_checkpointing_kwargs: |
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use_reentrant: false |
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early_stopping_patience: |
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resume_from_checkpoint: |
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logging_steps: 1 |
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xformers_attention: |
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flash_attention: true |
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warmup_steps: 100 |
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eval_steps: 100 |
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eval_table_size: |
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saves_per_epoch: |
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save_steps: 100 |
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save_total_limit: 20 |
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debug: |
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deepspeed: /workspace/deepspeed.json |
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weight_decay: 0.0 |
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fsdp: |
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fsdp_config: |
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special_tokens: |
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pad_token: <|end_of_text|> |
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``` |
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</details><br> |
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# out |
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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 None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7773 |
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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: 2e-05 |
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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: 4 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 32 |
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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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- lr_scheduler_warmup_steps: 100 |
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- num_epochs: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.0419 | 0.0 | 1 | 1.1113 | |
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| 0.9179 | 0.07 | 100 | 0.8886 | |
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| 1.0123 | 0.14 | 200 | 0.8822 | |
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| 0.9106 | 0.21 | 300 | 0.8701 | |
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| 0.8992 | 0.28 | 400 | 0.8637 | |
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| 0.7915 | 0.35 | 500 | 0.8527 | |
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| 0.9123 | 0.42 | 600 | 0.8448 | |
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| 0.7849 | 0.49 | 700 | 0.8381 | |
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| 0.8381 | 0.56 | 800 | 0.8344 | |
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| 0.7652 | 0.63 | 900 | 0.8230 | |
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| 0.9006 | 0.7 | 1000 | 0.8167 | |
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| 0.8589 | 0.77 | 1100 | 0.8088 | |
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| 0.7635 | 0.84 | 1200 | 0.8016 | |
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| 0.7696 | 0.91 | 1300 | 0.7951 | |
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| 0.8476 | 0.98 | 1400 | 0.7879 | |
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| 0.6031 | 1.03 | 1500 | 0.8063 | |
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| 0.5386 | 1.09 | 1600 | 0.8065 | |
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| 0.5298 | 1.16 | 1700 | 0.8015 | |
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| 0.5736 | 1.23 | 1800 | 0.7979 | |
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| 0.5761 | 1.3 | 1900 | 0.7939 | |
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| 0.5576 | 1.37 | 2000 | 0.7917 | |
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| 0.4814 | 1.44 | 2100 | 0.7879 | |
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| 0.5146 | 1.51 | 2200 | 0.7842 | |
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| 0.4577 | 1.58 | 2300 | 0.7832 | |
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| 0.4821 | 1.65 | 2400 | 0.7806 | |
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| 0.6088 | 1.72 | 2500 | 0.7782 | |
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| 0.5113 | 1.79 | 2600 | 0.7785 | |
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| 0.5861 | 1.86 | 2700 | 0.7779 | |
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| 0.4885 | 1.93 | 2800 | 0.7773 | |
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### Framework versions |
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- Transformers 4.40.0.dev0 |
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- Pytorch 2.2.0+cu121 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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