qwen2.5-1.5b-diffusion-scientific-L-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: 3.8626
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: 3e-06
- 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: 10.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 72.8125 | 0.3556 | 100 | 4.2313 |
| 70.7423 | 0.7111 | 200 | 4.2203 |
| 65.7707 | 1.064 | 300 | 4.2686 |
| 68.8484 | 1.4196 | 400 | 4.1462 |
| 65.7248 | 1.7751 | 500 | 4.2940 |
| 66.4324 | 2.128 | 600 | 4.0263 |
| 66.3626 | 2.4836 | 700 | 3.8795 |
| 62.3988 | 2.8391 | 800 | 4.1321 |
| 65.6526 | 3.192 | 900 | 4.1260 |
| 67.4312 | 3.5476 | 1000 | 3.8996 |
| 63.8859 | 3.9031 | 1100 | 4.2748 |
| 65.7103 | 4.256 | 1200 | 3.8309 |
| 63.2910 | 4.6116 | 1300 | 3.9817 |
| 62.6077 | 4.9671 | 1400 | 3.9192 |
| 62.8082 | 5.32 | 1500 | 3.9552 |
| 63.3571 | 5.6756 | 1600 | 4.1320 |
| 57.8210 | 6.0284 | 1700 | 4.0993 |
| 63.1211 | 6.384 | 1800 | 4.0743 |
| 62.5020 | 6.7396 | 1900 | 3.9847 |
| 64.6647 | 7.0924 | 2000 | 4.0498 |
| 65.7863 | 7.448 | 2100 | 4.0664 |
| 65.2337 | 7.8036 | 2200 | 4.0635 |
| 62.7605 | 8.1564 | 2300 | 4.1932 |
| 64.0694 | 8.512 | 2400 | 3.8387 |
| 60.7923 | 8.8676 | 2500 | 3.9723 |
| 65.5705 | 9.2204 | 2600 | 4.1179 |
| 63.6627 | 9.576 | 2700 | 3.9689 |
| 63.9980 | 9.9316 | 2800 | 4.2244 |
| 59.2126 | 10.0 | 2820 | 3.8626 |
Framework versions
- Transformers 5.14.1
- Pytorch 2.13.0+cu130
- Datasets 4.8.5
- Tokenizers 0.22.2