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gpt-neo-125M-finetuned-v2-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: 2.9070
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- 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 |
|---|---|---|---|
| 3.2101 | 1.19 | 25 | 3.0819 |
| 3.0825 | 2.37 | 50 | 2.9915 |
| 2.9763 | 3.56 | 75 | 2.9368 |
| 2.8595 | 4.74 | 100 | 2.9059 |
| 2.7736 | 5.93 | 125 | 2.8900 |
| 2.7192 | 7.14 | 150 | 2.8900 |
| 2.556 | 8.33 | 175 | 2.9113 |
| 2.4483 | 9.51 | 200 | 2.9377 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.0
- Tokenizers 0.13.2
