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Marathi_GPT2_Pretrained
- Loss: 1.8264
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.8893 | 0.27 | 500 | 2.5366 |
| 2.3286 | 0.53 | 1000 | 2.1366 |
| 2.005 | 0.8 | 1500 | 1.8264 |
Framework versions
- Transformers 4.18.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.0
- Tokenizers 0.12.1
