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--- |
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library_name: peft |
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license: apache-2.0 |
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base_model: Qwen/Qwen2.5-7B |
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tags: |
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- axolotl |
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- generated_from_trainer |
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datasets: |
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- sumuks/openreview_wintermute_0.2_training_data |
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model-index: |
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- name: purple-wintermute-0.2-7b |
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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: `0.6.0` |
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```yaml |
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base_model: Qwen/Qwen2.5-7B |
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hub_model_id: sumuks/purple-wintermute-0.2-7b |
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trust_remote_code: true |
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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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bf16: true |
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hf_use_auth_token: true |
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plugins: |
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- axolotl.integrations.liger.LigerPlugin |
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liger_rope: true |
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liger_rms_norm: true |
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liger_glu_activation: true |
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liger_layer_norm: true |
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liger_fused_linear_cross_entropy: true |
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save_safetensors: |
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datasets: |
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- path: sumuks/openreview_wintermute_0.2_training_data |
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type: completion |
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field: text |
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dataset_prepared_path: .axolotl_cache_data/wintermute_0.2 |
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shuffle_merged_datasets: true |
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# dataset_exact_deduplication: true |
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val_set_size: 0.005 |
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output_dir: ./../../outputs/purple-wintermute-0.2-7b |
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push_dataset_to_hub: sumuks/purple_wintermute_0.2_training_data_in_progress |
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sequence_length: 2048 |
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sample_packing: true |
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pad_to_sequence_len: true |
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adapter: lora |
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lora_r: 256 |
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lora_alpha: 32 |
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lora_dropout: 0.05 |
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peft_use_rslora: true |
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lora_target_linear: true |
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gradient_accumulation_steps: 4 |
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micro_batch_size: 16 |
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eval_batch_size: 1 |
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num_epochs: 3 |
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learning_rate: 5e-5 |
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warmup_ratio: 0.05 |
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evals_per_epoch: 5 |
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saves_per_epoch: 5 |
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gradient_checkpointing: true |
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lr_scheduler: cosine |
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optimizer: paged_adamw_8bit |
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profiler_steps: 100 |
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save_safetensors: true |
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train_on_inputs: true |
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wandb_project: wintermute |
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wandb_name: purple-wintermute-0.2-7b |
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deepspeed: deepspeed_configs/zero1.json |
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``` |
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</details><br> |
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# purple-wintermute-0.2-7b |
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This model is a fine-tuned version of [Qwen/Qwen2.5-7B](https://huggingface.co/Qwen/Qwen2.5-7B) on the sumuks/openreview_wintermute_0.2_training_data dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3961 |
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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: 5e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 4 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 256 |
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- total_eval_batch_size: 4 |
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- optimizer: Use paged_adamw_8bit 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: 389 |
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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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| No log | 0.0004 | 1 | 2.6905 | |
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| 1.6977 | 0.2002 | 519 | 1.8454 | |
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| 1.5955 | 0.4004 | 1038 | 1.7875 | |
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| 1.4268 | 0.6006 | 1557 | 1.7164 | |
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| 1.2613 | 0.8008 | 2076 | 1.6061 | |
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| 1.1526 | 1.0012 | 2595 | 1.5174 | |
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| 1.0637 | 1.2014 | 3114 | 1.4811 | |
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| 1.0251 | 1.4015 | 3633 | 1.4466 | |
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| 0.9791 | 1.6017 | 4152 | 1.4230 | |
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| 0.9609 | 1.8019 | 4671 | 1.4072 | |
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| 1.0291 | 2.0023 | 5190 | 1.3994 | |
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| 0.917 | 2.2025 | 5709 | 1.4018 | |
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| 0.9306 | 2.4027 | 6228 | 1.3995 | |
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| 0.8935 | 2.6029 | 6747 | 1.3963 | |
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| 0.9343 | 2.8031 | 7266 | 1.3961 | |
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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 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
