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gpt-neo-125M-finetuned-seinfeld
This model is a fine-tuned version of EleutherAI/gpt-neo-125M on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.1742
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
- 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: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.5154 | 0.99 | 26 | 3.4073 |
| 3.3109 | 1.99 | 52 | 3.2356 |
| 3.1383 | 2.99 | 78 | 3.1584 |
| 3.0213 | 3.99 | 104 | 3.1206 |
| 2.9253 | 4.99 | 130 | 3.1032 |
| 2.8361 | 5.99 | 156 | 3.0963 |
| 2.7517 | 6.99 | 182 | 3.1016 |
| 2.6606 | 7.99 | 208 | 3.1131 |
| 2.5651 | 8.99 | 234 | 3.1442 |
| 2.4641 | 9.99 | 260 | 3.1742 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.0
- Tokenizers 0.13.2
