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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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- axolotl |
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- generated_from_trainer |
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base_model: Qwen/Qwen1.5-0.5B-Chat |
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model-index: |
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- name: 1ea8bc4a-3006-4988-b59e-62f215db29ec |
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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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adapter: lora |
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base_model: Qwen/Qwen1.5-0.5B-Chat |
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bf16: auto |
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datasets: |
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- data_files: |
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- bbf625be58a9c576_train_data.json |
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ds_type: json |
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format: custom |
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path: bbf625be58a9c576_train_data.json |
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type: |
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field: null |
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field_input: null |
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field_instruction: instruction |
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field_output: output |
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field_system: null |
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format: null |
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no_input_format: null |
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system_format: '{system}' |
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system_prompt: '' |
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debug: null |
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deepspeed: null |
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early_stopping_patience: null |
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eval_max_new_tokens: 128 |
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eval_sample_packing: false |
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eval_table_size: null |
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evals_per_epoch: 4 |
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flash_attention: true |
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fp16: null |
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fsdp: null |
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fsdp_config: null |
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gradient_accumulation_steps: 4 |
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gradient_checkpointing: true |
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group_by_length: false |
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hub_model_id: FatCat87/1ea8bc4a-3006-4988-b59e-62f215db29ec |
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learning_rate: 0.0002 |
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load_in_4bit: false |
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load_in_8bit: true |
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local_rank: null |
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logging_steps: 1 |
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lora_alpha: 16 |
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lora_dropout: 0.05 |
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lora_r: 32 |
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lora_target_linear: true |
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lr_scheduler: cosine |
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micro_batch_size: 2 |
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model_type: AutoModelForCausalLM |
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num_epochs: 1 |
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optimizer: adamw_bnb_8bit |
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output_dir: ./outputs/out |
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pad_to_sequence_len: true |
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resume_from_checkpoint: null |
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sample_packing: true |
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saves_per_epoch: 1 |
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seed: 701 |
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sequence_len: 4096 |
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special_tokens: null |
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strict: false |
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tf32: false |
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tokenizer_type: AutoTokenizer |
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train_on_inputs: false |
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val_set_size: 0.1 |
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wandb_entity: fatcat87-taopanda |
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wandb_log_model: null |
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wandb_mode: online |
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wandb_name: 1ea8bc4a-3006-4988-b59e-62f215db29ec |
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wandb_project: subnet56 |
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wandb_runid: 1ea8bc4a-3006-4988-b59e-62f215db29ec |
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wandb_watch: null |
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warmup_ratio: 0.05 |
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weight_decay: 0.0 |
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xformers_attention: null |
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``` |
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</details><br> |
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/fatcat87-taopanda/subnet56/runs/yn3bxdrd) |
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# 1ea8bc4a-3006-4988-b59e-62f215db29ec |
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This model is a fine-tuned version of [Qwen/Qwen1.5-0.5B-Chat](https://huggingface.co/Qwen/Qwen1.5-0.5B-Chat) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5047 |
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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: 701 |
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- distributed_type: multi-GPU |
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- num_devices: 2 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 16 |
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- total_eval_batch_size: 4 |
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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: 3 |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 1.7664 | 0.0127 | 1 | 1.8081 | |
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| 1.4812 | 0.2532 | 20 | 1.5328 | |
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| 1.5102 | 0.5063 | 40 | 1.5104 | |
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| 1.4551 | 0.7595 | 60 | 1.5047 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.42.3 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
