metadata
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: mm2024-gpt-M-20240303T113807
results: []
mm2024-gpt-M-20240303T113807
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1845
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: 4096
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6928 | 0.24 | 15000 | 0.7607 |
| 0.4003 | 0.48 | 30000 | 0.5600 |
| 0.2811 | 0.72 | 45000 | 0.4320 |
| 0.2085 | 0.96 | 60000 | 0.3571 |
| 0.1548 | 1.2 | 75000 | 0.3006 |
| 0.1241 | 1.44 | 90000 | 0.2771 |
| 0.1056 | 1.68 | 105000 | 0.2569 |
| 0.0933 | 1.92 | 120000 | 0.2407 |
| 0.0843 | 2.16 | 135000 | 0.2245 |
| 0.0788 | 2.4 | 150000 | 0.2189 |
| 0.0746 | 2.64 | 165000 | 0.2034 |
| 0.0706 | 2.88 | 180000 | 0.2050 |
| 0.0668 | 3.12 | 195000 | 0.2051 |
| 0.0647 | 3.36 | 210000 | 0.1980 |
| 0.0628 | 3.6 | 225000 | 0.1930 |
| 0.0611 | 3.84 | 240000 | 0.1865 |
| 0.0585 | 4.08 | 255000 | 0.1887 |
| 0.0573 | 4.32 | 270000 | 0.1857 |
| 0.0561 | 4.56 | 285000 | 0.1849 |
| 0.0554 | 4.8 | 300000 | 0.1845 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2