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batch_size_8_50_epochs_V3
This model is a fine-tuned version of JordanWHLewis/batch_size_8_50_epochs_V2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.9178
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 |
|---|---|---|---|
| 17.9139 | 6.67 | 200 | 2.8998 |
| 0.5858 | 13.33 | 400 | 2.5126 |
| 0.2578 | 20.0 | 600 | 2.9842 |
| 0.155 | 26.67 | 800 | 3.1740 |
| 0.1156 | 33.33 | 1000 | 2.9952 |
| 0.0971 | 40.0 | 1200 | 2.8684 |
| 0.075 | 46.67 | 1400 | 2.9178 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.2
