qwen2.5-1.5b-diffusion-scientific-L
This model is a fine-tuned version of lamm-mit/qwen2.5-1.5b-diffusion-ultrachat on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.6680
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: 1e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0.03
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 64.1562 | 0.3556 | 100 | 3.7350 |
| 64.3663 | 0.7111 | 200 | 3.8210 |
| 59.7814 | 1.064 | 300 | 3.9045 |
| 63.2812 | 1.4196 | 400 | 3.8106 |
| 60.3536 | 1.7751 | 500 | 3.9681 |
| 61.2504 | 2.128 | 600 | 3.7179 |
| 61.4287 | 2.4836 | 700 | 3.5746 |
| 57.6944 | 2.8391 | 800 | 3.8365 |
| 59.3825 | 3.0 | 846 | 3.6680 |
Framework versions
- Transformers 5.14.1
- Pytorch 2.13.0+cu130
- Datasets 4.8.5
- Tokenizers 0.22.2