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model_output_original_subreddit-poker_1
This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.4228
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
- gradient_accumulation_steps: 8
- total_train_batch_size: 512
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.8297 | 0.27 | 500 | 3.7221 |
| 3.6975 | 0.53 | 1000 | 3.6183 |
| 3.6293 | 0.8 | 1500 | 3.5539 |
| 3.475 | 1.07 | 2000 | 3.5102 |
| 3.4176 | 1.34 | 2500 | 3.4696 |
| 3.3944 | 1.6 | 3000 | 3.4375 |
| 3.3791 | 1.87 | 3500 | 3.4228 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.13.0+cu117
- Datasets 2.7.1
- Tokenizers 0.13.2
