| --- |
| license: apache-2.0 |
| base_model: Qwen/Qwen2-0.5B |
| tags: |
| - axolotl |
| - generated_from_trainer |
| model-index: |
| - name: Qwen2-0.5B-Abyme |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| [<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) |
| <details><summary>See axolotl config</summary> |
|
|
| axolotl version: `0.4.1` |
| ```yaml |
| adapter: null |
| base_model: Qwen/Qwen2-0.5B |
| bf16: auto |
| chat_template: chatml |
| dataset_prepared_path: ./data/last_run_prepared |
| datasets: |
| - path: Magpie-Align/Magpie-Qwen2-Pro-300K-Filtered |
| type: sharegpt |
| deepspeed: null |
| early_stopping_patience: null |
| eval_sample_packing: true |
| evals_per_epoch: 4 |
| flash_attention: true |
| fp16: null |
| fsdp: null |
| gradient_accumulation_steps: 4 |
| gradient_checkpointing: true |
| gradient_checkpointing_kwargs: |
| use_reentrant: false |
| group_by_length: false |
| hf_use_auth_token: true |
| hub_model_id: CoolSpring/Qwen2-0.5B-Abyme |
| learning_rate: 2e-5 |
| load_in_4bit: false |
| load_in_8bit: false |
| local_rank: null |
| logging_steps: 1 |
| lr_scheduler: cosine |
| micro_batch_size: 4 |
| num_epochs: 1 |
| optimizer: adamw_torch |
| output_dir: ./outputs/out |
| pad_to_sequence_len: true |
| resize_token_embeddings_to_32x: true |
| resume_from_checkpoint: null |
| sample_packing: true |
| saves_per_epoch: 1 |
| sequence_len: 4096 |
| tf32: true |
| tokens: |
| - <|im_start|> |
| - <|im_end|> |
| train_on_inputs: false |
| val_set_size: 0.05 |
| wandb_entity: null |
| wandb_log_model: null |
| wandb_name: Qwen2-0.5B-Abyme |
| wandb_project: Qwen2-0.5B-Magpie-Qwen2-Pro-300K-Filtered |
| wandb_watch: null |
| warmup_steps: 100 |
| weight_decay: null |
| xformers_attention: null |
| |
| ``` |
|
|
| </details><br> |
|
|
| [<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/coolspring-none/Qwen2-0.5B-Magpie-Qwen2-Pro-300K-Filtered/runs/qcne24ii) |
| # Qwen2-0.5B-Abyme |
|
|
| This model is a fine-tuned version of [Qwen/Qwen2-0.5B](https://huggingface.co/Qwen/Qwen2-0.5B) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.8229 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 2e-05 |
| - train_batch_size: 4 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 16 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_steps: 100 |
| - num_epochs: 1 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:------:|:----:|:---------------:| |
| | 0.9947 | 0.0004 | 1 | 0.9683 | |
| | 0.8385 | 0.2501 | 597 | 0.8338 | |
| | 0.7636 | 0.5002 | 1194 | 0.8249 | |
| | 0.8124 | 0.7502 | 1791 | 0.8229 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.42.3 |
| - Pytorch 2.3.1+cu121 |
| - Datasets 2.19.1 |
| - Tokenizers 0.19.1 |
|
|
