qwen2.5-7b-idea-review-mvp-1
This model is a fine-tuned version of Qwen/Qwen2.5-7B on the openreview_idea_review dataset. It achieves the following results on the evaluation set:
- Loss: 1.2680
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 32
- total_eval_batch_size: 4
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.3667 | 0.5038 | 600 | 1.3808 |
| 1.2766 | 1.0076 | 1200 | 1.3507 |
| 1.2089 | 1.5113 | 1800 | 1.3161 |
| 1.0911 | 2.0151 | 2400 | 1.2887 |
| 1.0794 | 2.5189 | 3000 | 1.2711 |
Framework versions
- PEFT 0.12.0
- Transformers 4.46.1
- Pytorch 2.5.1
- Datasets 3.1.0
- Tokenizers 0.20.3
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Qwen/Qwen2.5-7B