metadata
license: mit
tags:
- generated_from_trainer
base_model: gpt2
model-index:
- name: gpt2-evy
results: []
gpt2-evy
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2693
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 7 | 1.5530 |
| No log | 2.0 | 14 | 1.4601 |
| No log | 3.0 | 21 | 1.3953 |
| No log | 4.0 | 28 | 1.3557 |
| No log | 5.0 | 35 | 1.3301 |
| No log | 6.0 | 42 | 1.3117 |
| No log | 7.0 | 49 | 1.2968 |
| No log | 8.0 | 56 | 1.2832 |
| No log | 9.0 | 63 | 1.2769 |
| No log | 10.0 | 70 | 1.2807 |
| No log | 11.0 | 77 | 1.2698 |
| No log | 12.0 | 84 | 1.2707 |
| No log | 13.0 | 91 | 1.2747 |
| No log | 14.0 | 98 | 1.2695 |
| 1.0557 | 15.0 | 105 | 1.2699 |
| 1.0557 | 16.0 | 112 | 1.2656 |
| 1.0557 | 17.0 | 119 | 1.2711 |
| 1.0557 | 18.0 | 126 | 1.2696 |
| 1.0557 | 19.0 | 133 | 1.2691 |
| 1.0557 | 20.0 | 140 | 1.2693 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1