dpt_2
- Loss: 4.5960
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: 4e-05
- train_batch_size: 64
- eval_batch_size: 8
- seed: 42
- distributed_type: sagemaker_data_parallel
- num_devices: 8
- total_train_batch_size: 512
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 250
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.7672 | 1.55 | 500 | 5.7039 |
| 5.1184 | 3.11 | 1000 | 5.0316 |
| 4.9014 | 4.66 | 1500 | 4.7823 |
| 4.738 | 6.21 | 2000 | 4.6616 |
| 4.681 | 7.76 | 2500 | 4.6100 |
| 4.6872 | 9.32 | 3000 | 4.5960 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0
- Datasets 2.16.1
- Tokenizers 0.13.3
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