dpt2
This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 7.5055
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: 16
- eval_batch_size: 8
- seed: 42
- distributed_type: sagemaker_data_parallel
- num_devices: 8
- total_train_batch_size: 128
- 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: 100
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 8.502 | 0.55 | 500 | 8.4534 |
| 8.0415 | 1.11 | 1000 | 7.9871 |
| 7.7597 | 1.66 | 1500 | 7.7447 |
| 7.6464 | 2.22 | 2000 | 7.6124 |
| 7.5645 | 2.77 | 2500 | 7.5410 |
| 7.5485 | 3.33 | 3000 | 7.5114 |
| 7.5596 | 3.88 | 3500 | 7.5055 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0
- Datasets 2.16.1
- Tokenizers 0.13.3
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