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gpt2-xl_ft_mult_10k
This model is a fine-tuned version of gpt2-xl on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6916
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100.0
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.99 | 54 | 1.3358 |
| No log | 1.99 | 108 | 0.7486 |
| No log | 2.99 | 162 | 0.6997 |
| No log | 3.99 | 216 | 0.6916 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.10.0+cu111
- Datasets 2.0.0
- Tokenizers 0.11.6
Perplexity
Score: 25.89222526550293
Dataset Size
Size: 5000
