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--- |
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license: llama3 |
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library_name: peft |
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tags: |
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- axolotl |
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- generated_from_trainer |
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base_model: meta-llama/Meta-Llama-3-8B |
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model-index: |
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- name: llama3-8b-hermes-sandals-sample-10k |
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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: ./data/openhermes2_5_10k.jsonl |
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type: sharegpt |
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conversation: chatml |
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dataset_prepared_path: |
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val_set_size: 0.15 |
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output_dir: ./lora-output-dir |
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hub_model_id: venetis/llama3-8b-hermes-sandals-sample-10k |
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data_seed: 117 |
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seed: 117 |
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chat_template: chatml |
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adapter: lora |
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lora_model_dir: |
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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_linear: true |
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lora_fan_in_fan_out: |
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sequence_len: 4096 |
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sample_packing: true |
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eval_sample_packing: true |
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pad_to_sequence_len: true |
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wandb_project: llama-3-8b-hermes-sandals-sample-10k |
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wandb_entity: venetispall |
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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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optimizer: adamw_bnb_8bit |
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lr_scheduler: cosine |
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learning_rate: 2e-4 |
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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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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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s2_attention: |
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warmup_steps: 10 |
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evals_per_epoch: 4 |
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eval_table_size: |
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eval_max_new_tokens: 128 |
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saves_per_epoch: 1 |
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debug: |
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deepspeed: |
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weight_decay: 0.0 |
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fsdp: |
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fsdp_config: |
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#UPDATES mk2 - added special tokens |
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special_tokens: |
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eos_token: "<|im_end|>" |
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pad_token: "<|end_of_text|>" |
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tokens: |
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- "<|im_start|>" |
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- "<|im_end|>" |
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lora_modules_to_save: |
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- embed_tokens |
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- lm_head |
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``` |
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</details><br> |
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# llama3-8b-hermes-sandals-sample-10k |
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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: 0.8913 |
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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: 117 |
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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=(0.9,0.999) and epsilon=1e-08 |
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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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| 0.9567 | 0.0102 | 1 | 1.0036 | |
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| 0.7583 | 0.2545 | 25 | 0.8184 | |
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| 0.8226 | 0.5089 | 50 | 0.8238 | |
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| 0.7471 | 0.7634 | 75 | 0.8094 | |
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| 0.7339 | 1.0178 | 100 | 0.7954 | |
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| 0.4737 | 1.2494 | 125 | 0.8393 | |
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| 0.4723 | 1.5038 | 150 | 0.8395 | |
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| 0.5529 | 1.7583 | 175 | 0.8327 | |
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| 0.4288 | 2.0127 | 200 | 0.8277 | |
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| 0.2476 | 2.2468 | 225 | 0.8617 | |
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| 0.2566 | 2.5013 | 250 | 0.8676 | |
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| 0.2787 | 2.7557 | 275 | 0.8654 | |
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| 0.3477 | 3.0102 | 300 | 0.8648 | |
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| 0.1912 | 3.2392 | 325 | 0.8909 | |
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| 0.1868 | 3.4936 | 350 | 0.8912 | |
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| 0.1864 | 3.7481 | 375 | 0.8913 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.40.2 |
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- Pytorch 2.1.2+cu118 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
