metadata
license: mit
base_model: gpt2
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: gpt2_classifier_MMLU_Pro
results: []
gpt2_classifier_MMLU_Pro
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5280
- Accuracy: 0.8695
- F1: 0.8691
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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 1.1111 | 1.0 | 968 | 0.5542 | 0.8260 | 0.8231 |
| 0.3669 | 2.0 | 1936 | 0.4217 | 0.8673 | 0.8671 |
| 0.1922 | 3.0 | 2904 | 0.4459 | 0.8756 | 0.8751 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.0.0
- Datasets 2.17.0
- Tokenizers 0.15.2