metadata
library_name: transformers
license: mit
base_model: openai-community/gpt2
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: finetuned_gpt2_model
results: []
finetuned_gpt2_model
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: 0.1308
- Precision: 0.3653
- Recall: 0.4195
- F1: 0.3905
- Accuracy: 0.9574
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.1977 | 1.0 | 500 | 0.1391 | 0.3420 | 0.3961 | 0.3671 | 0.9561 |
| 0.1419 | 2.0 | 1000 | 0.1333 | 0.3522 | 0.4014 | 0.3752 | 0.9571 |
| 0.1361 | 3.0 | 1500 | 0.1325 | 0.3649 | 0.4151 | 0.3884 | 0.9569 |
| 0.1338 | 4.0 | 2000 | 0.1308 | 0.3653 | 0.4195 | 0.3905 | 0.9574 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1