mystv0_abb
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6883
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: 32
- eval_batch_size: 32
- seed: 42
- distributed_type: multi-GPU
- 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: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.3146 | 5.12 | 1000 | 1.5020 |
| 1.0106 | 10.24 | 2000 | 1.5553 |
| 0.9965 | 15.36 | 3000 | 1.5045 |
| 0.9931 | 20.47 | 4000 | 1.5800 |
| 0.9909 | 25.59 | 5000 | 1.4855 |
| 0.9881 | 30.71 | 6000 | 1.5844 |
| 0.9851 | 35.83 | 7000 | 1.7043 |
| 0.9813 | 40.95 | 8000 | 1.6826 |
| 0.9778 | 46.07 | 9000 | 1.6883 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.1.0+cu121
- Datasets 2.13.1
- Tokenizers 0.13.3