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--- |
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library_name: peft |
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license: llama3.2 |
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base_model: meta-llama/Llama-3.2-3B |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: outputs/dippy-2 |
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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: `0.5.0` |
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```yaml |
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base_model: meta-llama/Llama-3.2-3B |
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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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#wget -O dataset_2000.jsonl http://94.130.230.31/dataset_2000.jsonl |
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chat_template: llama3 |
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datasets: |
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- path: ./dataset_2000.jsonl |
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type: chat_template |
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dataset_prepared_path: |
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val_set_size: 0.05 |
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output_dir: ./outputs/dippy-2 |
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sequence_len: 4096 |
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sample_packing: true |
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eval_sample_packing: false |
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pad_to_sequence_len: true |
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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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lora_modules_to_save: |
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- embed_tokens |
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- lm_head |
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wandb_project: |
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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: 12 |
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optimizer: adamw_bnb_8bit |
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lr_scheduler: cosine |
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learning_rate: 0.0002 |
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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: true |
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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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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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# outputs/dippy-2 |
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This model is a fine-tuned version of [meta-llama/Llama-3.2-3B](https://huggingface.co/meta-llama/Llama-3.2-3B) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.0961 |
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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: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 10 |
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- num_epochs: 12 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-------:|:----:|:---------------:| |
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| 1.9507 | 0.0153 | 1 | 1.9943 | |
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| 1.714 | 0.2605 | 17 | 1.7193 | |
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| 1.5507 | 0.5211 | 34 | 1.7040 | |
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| 1.6354 | 0.7816 | 51 | 1.6666 | |
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| 0.9188 | 1.0383 | 68 | 1.6559 | |
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| 0.8897 | 1.2989 | 85 | 1.6953 | |
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| 0.9014 | 1.5594 | 102 | 1.7119 | |
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| 0.8517 | 1.8199 | 119 | 1.7209 | |
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| 0.4448 | 2.0843 | 136 | 1.7969 | |
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| 0.4053 | 2.3448 | 153 | 1.8347 | |
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| 0.3723 | 2.6054 | 170 | 1.8777 | |
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| 0.339 | 2.8659 | 187 | 1.8751 | |
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| 0.1614 | 3.1264 | 204 | 2.0658 | |
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| 0.1804 | 3.3870 | 221 | 2.0643 | |
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| 0.1881 | 3.6475 | 238 | 2.0924 | |
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| 0.1762 | 3.9080 | 255 | 2.0624 | |
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| 0.195 | 4.1686 | 272 | 2.3268 | |
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| 0.0649 | 4.4291 | 289 | 2.2718 | |
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| 0.0786 | 4.6897 | 306 | 2.2569 | |
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| 0.0763 | 4.9502 | 323 | 2.2521 | |
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| 0.0509 | 5.2107 | 340 | 2.4546 | |
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| 0.0374 | 5.4713 | 357 | 2.4693 | |
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| 0.0216 | 5.7318 | 374 | 2.4763 | |
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| 0.0272 | 5.9923 | 391 | 2.5110 | |
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| 0.0117 | 6.2490 | 408 | 2.7330 | |
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| 0.0115 | 6.5096 | 425 | 2.6403 | |
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| 0.0092 | 6.7701 | 442 | 2.7747 | |
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| 0.0064 | 7.0268 | 459 | 2.7342 | |
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| 0.0059 | 7.2874 | 476 | 2.8930 | |
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| 0.0065 | 7.5479 | 493 | 2.9133 | |
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| 0.0059 | 7.8084 | 510 | 2.9216 | |
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| 0.0058 | 8.0690 | 527 | 2.9435 | |
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| 0.0046 | 8.3295 | 544 | 3.0068 | |
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| 0.0051 | 8.5900 | 561 | 3.0261 | |
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| 0.0044 | 8.8506 | 578 | 3.0278 | |
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| 0.0035 | 9.1073 | 595 | 3.0368 | |
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| 0.0038 | 9.3678 | 612 | 3.0577 | |
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| 0.004 | 9.6284 | 629 | 3.0710 | |
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| 0.0041 | 9.8889 | 646 | 3.0796 | |
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| 0.0038 | 10.1533 | 663 | 3.0823 | |
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| 0.0039 | 10.4138 | 680 | 3.0844 | |
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| 0.0041 | 10.6743 | 697 | 3.0886 | |
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| 0.004 | 10.9349 | 714 | 3.0952 | |
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| 0.0038 | 11.1992 | 731 | 3.0955 | |
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| 0.0033 | 11.4598 | 748 | 3.0949 | |
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| 0.0044 | 11.7203 | 765 | 3.0961 | |
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### Framework versions |
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- PEFT 0.13.2 |
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- Transformers 4.46.3 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
