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gpt-neo-1.3B-finetuned-v5-seinfeld
This model is a fine-tuned version of EleutherAI/gpt-neo-1.3B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.3717
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.5867 | 0.79 | 8 | 2.5308 |
| 2.5459 | 1.59 | 16 | 2.4639 |
| 2.4799 | 2.4 | 24 | 2.4183 |
| 2.4034 | 3.2 | 32 | 2.3830 |
| 2.2838 | 3.99 | 40 | 2.3568 |
| 2.2223 | 4.79 | 48 | 2.3410 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
