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batch_size_8_50_epochs_V2
This model is a fine-tuned version of monideep2255/batch_size_8_50_epochs on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.5169
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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 12.833 | 6.67 | 200 | 2.7768 |
| 1.0321 | 13.33 | 400 | 2.3414 |
| 0.4986 | 20.0 | 600 | 2.2381 |
| 0.295 | 26.67 | 800 | 2.3233 |
| 0.2093 | 33.33 | 1000 | 2.3775 |
| 0.1648 | 40.0 | 1200 | 2.4258 |
| 0.1254 | 46.67 | 1400 | 2.5169 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.2
