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--- |
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license: other |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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base_model: meta-llama/Meta-Llama-3-8B-Instruct |
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model-index: |
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- name: workspace/hiwaifu-8b |
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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-Instruct |
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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: true |
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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: MinervaAI/Aesir-Preview |
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type: sharegpt |
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- path: KaraKaraWitch/PIPPA-ShareGPT-formatted |
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type: sharegpt |
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chat_template: chatml |
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dataset_prepared_path: last_run_prepared |
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val_set_size: 0.001 |
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output_dir: /workspace/hiwaifu-8b |
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adapter: qlora |
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lora_model_dir: |
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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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lora_r: 32 |
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lora_alpha: 16 |
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lora_dropout: 0.05 |
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lora_target_modules: |
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lora_target_linear: true |
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lora_fan_in_fan_out: |
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lora_modules_to_save: |
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- embed_tokens |
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- lm_head |
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wandb_project: waifu |
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wandb_entity: |
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wandb_watch: |
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wandb_run_id: |
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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: 4 |
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adam_beta2: 0.95 |
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adam_epsilon: 0.00001 |
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max_grad_norm: 1.0 |
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lr_scheduler: cosine |
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learning_rate: 0.0002 |
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optimizer: paged_adamw_32bit |
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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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#bfloat16: true |
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gradient_checkpointing: true |
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early_stopping_patience: |
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resume_from_checkpoint: |
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local_rank: |
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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: 10 |
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eval_steps: 100 |
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eval_table_size: |
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eval_table_max_new_tokens: |
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eval_sample_packing: false |
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saves_per_epoch: |
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save_steps: 100 |
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save_total_limit: 2 |
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debug: |
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#deepspeed: /workspace/axolotl/deepspeed_configs/zero3_bf16_cpuoffload_all.json |
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weight_decay: 0.1 |
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fsdp: |
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fsdp_config: |
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special_tokens: |
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eos_token: "<|im_end|>" |
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pad_token: "<|im_end|>" |
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tokens: |
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- "<|im_start|>" |
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``` |
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</details><br> |
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# workspace/hiwaifu-8b |
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5946 |
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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: 0.0002 |
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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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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 8 |
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- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-05 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 10 |
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- num_epochs: 4 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 4.6425 | 0.0 | 1 | 4.4372 | |
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| 1.9054 | 0.21 | 100 | 1.6499 | |
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| 1.6536 | 0.41 | 200 | 1.6101 | |
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| 1.7332 | 0.62 | 300 | 1.5973 | |
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| 1.7975 | 0.82 | 400 | 1.6079 | |
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| 1.669 | 1.01 | 500 | 1.5992 | |
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| 1.5612 | 1.21 | 600 | 1.5926 | |
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| 1.6936 | 1.42 | 700 | 1.5868 | |
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| 1.6197 | 1.62 | 800 | 1.5707 | |
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| 1.6831 | 1.83 | 900 | 1.5690 | |
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| 1.4055 | 2.02 | 1000 | 1.5902 | |
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| 1.4736 | 2.22 | 1100 | 1.5987 | |
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| 1.4137 | 2.43 | 1200 | 1.5899 | |
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| 1.4527 | 2.63 | 1300 | 1.5854 | |
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| 1.507 | 2.84 | 1400 | 1.5814 | |
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| 1.4538 | 3.03 | 1500 | 1.5900 | |
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| 1.4501 | 3.24 | 1600 | 1.5938 | |
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| 1.3612 | 3.44 | 1700 | 1.5928 | |
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| 1.4801 | 3.65 | 1800 | 1.5922 | |
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| 1.3502 | 3.85 | 1900 | 1.5946 | |
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### Framework versions |
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- PEFT 0.10.0 |
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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 |
