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--- |
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library_name: peft |
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license: llama3.2 |
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base_model: minpeter/Llama-3.2-1B-AlternateTokenizer-chatml |
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tags: |
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- generated_from_trainer |
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datasets: |
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- teknium/OpenHermes-2.5 |
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model-index: |
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- name: output |
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results: [] |
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pipeline_tag: text-generation |
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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: `0.6.0` |
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```yaml |
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base_model: "./llama-1b" |
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#base_model: teknium/Llama-3.1-AlternateTokenizer |
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#tokenizer_config: teknium/Llama-3.1-AlternateTokenizer |
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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: teknium/OpenHermes-2.5 |
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type: chat_template |
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chat_template: chatml |
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field_messages: conversations |
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message_field_role: from |
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message_field_content: value |
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shards: 800 |
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save_safetensors: true |
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auto_resume_from_checkpoints: false |
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save_steps: 200 |
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chat_template: chatml |
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dataset_prepared_path: last_run_prepared |
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val_set_size: 0.1 |
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output_dir: ./output |
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adapter: qlora |
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lora_model_dir: |
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sequence_len: 2048 |
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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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lora_r: 32 |
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lora_alpha: 16 |
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lora_dropout: 0.05 |
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lora_fan_in_fan_out: |
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lora_target_modules: |
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- gate_proj |
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- down_proj |
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- up_proj |
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- q_proj |
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- v_proj |
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- k_proj |
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- o_proj |
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wandb_project: "axolotl" |
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wandb_entity: "kasfiekfs-e" |
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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: 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: |
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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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loss_watchdog_threshold: 5.0 |
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loss_watchdog_patience: 3 |
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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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bos_token: <|begin_of_text|> |
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eos_token: <|im_end|> |
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pad_token: <|end_of_text|> |
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# <--- unsloth config ---> |
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unsloth_lora_mlp: true |
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unsloth_lora_qkv: true |
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unsloth_lora_o: true |
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``` |
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</details><br> |
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# output |
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This model was trained from scratch on the teknium/OpenHermes-2.5 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9959 |
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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: 2.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 1.0246 | 0.0370 | 1 | 1.1798 | |
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| 1.2085 | 0.2593 | 7 | 1.1312 | |
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| 1.1683 | 0.5185 | 14 | 1.0579 | |
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| 1.0703 | 0.7778 | 21 | 1.0243 | |
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| 1.0815 | 1.0370 | 28 | 1.0119 | |
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| 1.2227 | 1.2963 | 35 | 1.0031 | |
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| 1.1577 | 1.5556 | 42 | 0.9977 | |
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| 1.1897 | 1.8148 | 49 | 0.9959 | |
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### Framework versions |
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- PEFT 0.14.0 |
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- Transformers 4.47.1 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
