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--- |
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tags: |
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- axolotl |
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- generated_from_trainer |
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model-index: |
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- name: qwen-pt |
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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: `0.4.1` |
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```yaml |
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base_model: qwenqwenpt/out/checkpoint-331 |
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trust_remote_code: true |
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hub_model_id: KolaGang/qwen-pt |
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hub_strategy: end |
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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: KolaGang/Reflection |
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type: reflection |
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- path: KolaGang/RAG_EAI |
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type: context_qa.load_v2 |
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- path: lighteval/legal_summarization |
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name: BillSum |
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type: summarizetldr |
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- path: KolaGang/QA |
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type: alpaca_chat.load_qa |
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- path: KolaGang/chatlaw |
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type: sharegpt |
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- path: KolaGang/draft |
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type: alpaca |
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- path: KolaGang/alpca_w_system |
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type: alpaca |
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- path: jondurbin/airoboros-3.1 |
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type: sharegpt |
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dataset_prepared_path: sft |
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val_set_size: 0.05 |
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output_dir: ./outputs/sft |
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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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wandb_project: QwenQwen |
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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: smalqwen |
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gradient_accumulation_steps: 3 |
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micro_batch_size: 6 |
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num_epochs: 3 |
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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: true |
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gradient_checkpointing: true |
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gradient_checkpointing_kwargs: |
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use_reentrant: 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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evals_per_epoch: 4 |
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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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special_tokens: |
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``` |
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</details><br> |
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# qwen-pt |
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This model was trained from scratch on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8421 |
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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: 6 |
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- eval_batch_size: 6 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- gradient_accumulation_steps: 3 |
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- total_train_batch_size: 144 |
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- total_eval_batch_size: 48 |
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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: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 1.3551 | 0.0087 | 1 | 1.3908 | |
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| 0.8062 | 0.2536 | 29 | 0.8276 | |
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| 0.8467 | 0.5073 | 58 | 0.7825 | |
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| 0.7743 | 0.7609 | 87 | 0.7598 | |
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| 0.8083 | 1.0146 | 116 | 0.7337 | |
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| 0.4953 | 1.2507 | 145 | 0.7619 | |
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| 0.4745 | 1.5044 | 174 | 0.7507 | |
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| 0.4436 | 1.7580 | 203 | 0.7342 | |
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| 0.4503 | 2.0117 | 232 | 0.7183 | |
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| 0.2062 | 2.2478 | 261 | 0.8441 | |
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| 0.1905 | 2.5015 | 290 | 0.8433 | |
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| 0.2148 | 2.7551 | 319 | 0.8421 | |
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### Framework versions |
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- Transformers 4.41.1 |
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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 |
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