metadata
tags:
- generated_from_trainer
model-index:
- name: GPT2-705M
results: []
GPT2-705M
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 6.3448
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: 2.5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 300
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.74 | 2 | 8.7412 |
| No log | 1.86 | 5 | 8.4430 |
| No log | 2.98 | 8 | 7.9292 |
| No log | 3.72 | 10 | 7.6564 |
| No log | 4.84 | 13 | 7.4596 |
| No log | 5.95 | 16 | 7.1794 |
| No log | 6.7 | 18 | 7.0752 |
| 7.7805 | 7.81 | 21 | 6.8572 |
| 7.7805 | 8.93 | 24 | 6.6855 |
| 7.7805 | 9.67 | 26 | 6.5781 |
| 7.7805 | 10.79 | 29 | 6.4065 |
| 7.7805 | 11.16 | 30 | 6.3448 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0