model_xl
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0306
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: 0.0001
- train_batch_size: 12
- eval_batch_size: 12
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_steps: 500
- training_steps: 0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.6465 | 0.11 | 2000 | 2.3854 |
| 1.5576 | 0.22 | 4000 | 1.4934 |
| 1.3344 | 0.33 | 6000 | 1.2809 |
| 1.2192 | 0.43 | 8000 | 1.1750 |
| 1.1604 | 0.54 | 10000 | 1.1104 |
| 1.108 | 0.65 | 12000 | 1.0707 |
| 1.0949 | 0.76 | 14000 | 1.0461 |
| 1.0759 | 0.87 | 16000 | 1.0332 |
| 1.0622 | 0.98 | 18000 | 1.0306 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1