guten-rarity-all-2p5k-new-loop-2-pad
This model is a fine-tuned version of gpt2 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 4.1093
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: 64
- eval_batch_size: 64
- 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: 6
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 6.3525 | 0.29 | 500 | 5.3436 |
| 5.0384 | 0.59 | 1000 | 4.9208 |
| 4.7004 | 0.88 | 1500 | 4.6903 |
| 4.4406 | 1.17 | 2000 | 4.5477 |
| 4.3 | 1.47 | 2500 | 4.4391 |
| 4.1924 | 1.76 | 3000 | 4.3269 |
| 4.0657 | 2.05 | 3500 | 4.2503 |
| 3.8896 | 2.35 | 4000 | 4.2073 |
| 3.8695 | 2.64 | 4500 | 4.1530 |
| 3.8286 | 2.93 | 5000 | 4.1045 |
| 3.6278 | 3.23 | 5500 | 4.0992 |
| 3.5812 | 3.52 | 6000 | 4.0714 |
| 3.5649 | 3.81 | 6500 | 4.0367 |
| 3.4655 | 4.11 | 7000 | 4.0397 |
| 3.3189 | 4.4 | 7500 | 4.0311 |
| 3.3068 | 4.69 | 8000 | 4.0189 |
| 3.2981 | 4.99 | 8500 | 4.0054 |
| 3.1407 | 5.28 | 9000 | 4.0187 |
| 3.1309 | 5.57 | 9500 | 4.0181 |
| 3.1292 | 5.87 | 10000 | 4.0165 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.11.0+cu113
- Datasets 2.13.0
- Tokenizers 0.13.3
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