metadata
library_name: transformers
license: mit
base_model: openai-community/gpt2
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: gpt2-classifier
results: []
gpt2-classifier
This model is a fine-tuned version of openai-community/gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3035
- Accuracy: 0.8660
- F1: 0.7584
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 0 | 0 | 4.5305 | 0.2536 | 0.4046 |
| No log | 0.2020 | 79 | 0.4243 | 0.8055 | 0.6281 |
| No log | 0.4041 | 158 | 0.3872 | 0.8213 | 0.6884 |
| No log | 0.6061 | 237 | 0.3544 | 0.8545 | 0.7363 |
| No log | 0.8082 | 316 | 0.3220 | 0.8588 | 0.7278 |
| No log | 1.0102 | 395 | 0.3321 | 0.8516 | 0.7392 |
| No log | 1.2123 | 474 | 0.3121 | 0.8746 | 0.7655 |
| 0.4499 | 1.4143 | 553 | 0.2934 | 0.8790 | 0.7717 |
| 0.4499 | 1.6164 | 632 | 0.3184 | 0.8602 | 0.7544 |
| 0.4499 | 1.8184 | 711 | 0.3035 | 0.8660 | 0.7584 |
Framework versions
- Transformers 4.54.0
- Pytorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.21.2