mentalcaption-gen
This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 7.2071
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: 2e-05
- 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: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.9915 | 102 | 15.0712 |
| No log | 1.9927 | 205 | 13.1284 |
| No log | 2.9939 | 308 | 11.8544 |
| No log | 3.9951 | 411 | 10.6004 |
| No log | 4.9964 | 514 | 9.4891 |
| No log | 5.9976 | 617 | 8.7946 |
| No log | 6.9988 | 720 | 8.4227 |
| No log | 8.0 | 823 | 8.1604 |
| No log | 8.9915 | 925 | 7.9719 |
| No log | 9.9927 | 1028 | 7.8098 |
| No log | 10.9939 | 1131 | 7.6744 |
| No log | 11.9951 | 1234 | 7.5685 |
| No log | 12.9964 | 1337 | 7.4601 |
| No log | 13.9976 | 1440 | 7.3741 |
| No log | 14.9988 | 1543 | 7.3002 |
| No log | 16.0 | 1646 | 7.2581 |
| No log | 16.9915 | 1748 | 7.2293 |
| No log | 17.9927 | 1851 | 7.2151 |
| No log | 18.9939 | 1954 | 7.2077 |
| No log | 19.8299 | 2040 | 7.2071 |
Framework versions
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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