metadata
license: mit
base_model: gpt2
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: gpt2-finetuned-stationary-update
results: []
gpt2-finetuned-stationary-update
This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6156
- Accuracy: 0.7067
- F1: 0.6780
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.6691 | 1.0 | 38 | 0.6355 | 0.6667 | 0.5333 |
| 0.6204 | 2.0 | 76 | 0.6287 | 0.69 | 0.6342 |
| 0.5971 | 3.0 | 114 | 0.6185 | 0.6867 | 0.6287 |
| 0.5875 | 4.0 | 152 | 0.6268 | 0.68 | 0.5831 |
| 0.5494 | 5.0 | 190 | 0.6000 | 0.6967 | 0.6420 |
| 0.5272 | 6.0 | 228 | 0.6156 | 0.69 | 0.6180 |
| 0.5026 | 7.0 | 266 | 0.6364 | 0.6833 | 0.6201 |
| 0.4789 | 8.0 | 304 | 0.6179 | 0.71 | 0.6703 |
| 0.4742 | 9.0 | 342 | 0.6198 | 0.7033 | 0.6693 |
| 0.4528 | 10.0 | 380 | 0.6156 | 0.7067 | 0.6780 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0