otu_gpt
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.6030
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: 0.0002
- train_batch_size: 256
- eval_batch_size: 128
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 2048
- total_eval_batch_size: 1024
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.413 | 1.0 | 6430 | 5.3753 |
| 5.1384 | 2.0 | 12860 | 5.1224 |
| 4.996 | 3.0 | 19290 | 4.9950 |
| 4.9047 | 4.0 | 25720 | 4.9112 |
| 4.8292 | 5.0 | 32150 | 4.8572 |
| 4.7709 | 6.0 | 38580 | 4.8168 |
| 4.7345 | 7.0 | 45010 | 4.7872 |
| 4.6996 | 8.0 | 51440 | 4.7637 |
| 4.6509 | 9.0 | 57870 | 4.7396 |
| 4.6326 | 10.0 | 64300 | 4.7248 |
| 4.6049 | 11.0 | 70730 | 4.7104 |
| 4.5894 | 12.0 | 77160 | 4.6994 |
| 4.5574 | 13.0 | 83590 | 4.6868 |
| 4.5415 | 14.0 | 90020 | 4.6758 |
| 4.5283 | 15.0 | 96450 | 4.6676 |
| 4.4993 | 16.0 | 102880 | 4.6605 |
| 4.486 | 17.0 | 109310 | 4.6532 |
| 4.4675 | 18.0 | 115740 | 4.6467 |
| 4.4588 | 19.0 | 122170 | 4.6410 |
| 4.4402 | 20.0 | 128600 | 4.6347 |
| 4.4182 | 21.0 | 135030 | 4.6292 |
| 4.4031 | 22.0 | 141460 | 4.6262 |
| 4.3857 | 23.0 | 147890 | 4.6200 |
| 4.3726 | 24.0 | 154320 | 4.6150 |
| 4.3575 | 25.0 | 160750 | 4.6130 |
| 4.3369 | 26.0 | 167180 | 4.6102 |
| 4.3106 | 27.0 | 173610 | 4.6064 |
| 4.3068 | 28.0 | 180040 | 4.6044 |
| 4.2803 | 29.0 | 186470 | 4.6026 |
| 4.268 | 30.0 | 192900 | 4.6030 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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