metadata
license: mit
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: gpt2-token-class
results: []
gpt2-token-class
This model is a fine-tuned version of brad1141/gpt2-finetuned-comp2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3140
- Precision: 0.8139
- Recall: 0.6070
- F1: 0.6418
- Accuracy: 0.8854
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.2737 | 1.0 | 1796 | 0.3191 | 0.8066 | 0.6061 | 0.6402 | 0.8845 |
| 0.2846 | 2.0 | 3592 | 0.3140 | 0.8139 | 0.6070 | 0.6418 | 0.8854 |
Framework versions
- Transformers 4.29.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3