metadata
library_name: transformers
license: mit
base_model: openai-community/gpt2
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: gpt_model
results: []
gpt_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: 0.1091
- Precision: 0.4781
- Recall: 0.4102
- F1: 0.4415
- Accuracy: 0.9601
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 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 250 | 0.1237 | 0.4231 | 0.3799 | 0.4003 | 0.9566 |
| 0.2052 | 2.0 | 500 | 0.1117 | 0.4723 | 0.3790 | 0.4205 | 0.9598 |
| 0.2052 | 3.0 | 750 | 0.1102 | 0.4800 | 0.3928 | 0.4321 | 0.9601 |
| 0.1115 | 4.0 | 1000 | 0.1091 | 0.4781 | 0.4102 | 0.4415 | 0.9601 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1