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mystv0
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1636
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: 0.0005
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5437 | 14.95 | 1000 | 1.2185 |
| 0.5445 | 29.91 | 2000 | 1.1945 |
| 0.5471 | 44.86 | 3000 | 1.1636 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.1.0+cu121
- Datasets 2.13.1
- Tokenizers 0.13.3
