metadata
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: yes_no_model
results: []
yes_no_model
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0000
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: 20
- eval_batch_size: 20
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 6.4778 | 0.2857 | 10 | 5.2663 |
| 2.9544 | 0.5714 | 20 | 1.8252 |
| 1.267 | 0.8571 | 30 | 0.7955 |
| 0.7249 | 1.1429 | 40 | 0.3101 |
| 0.3031 | 1.4286 | 50 | 0.0483 |
| 0.0606 | 1.7143 | 60 | 0.0010 |
| 0.0049 | 2.0 | 70 | 0.0001 |
| 0.0014 | 2.2857 | 80 | 0.0001 |
| 0.0005 | 2.5714 | 90 | 0.0000 |
| 0.0008 | 2.8571 | 100 | 0.0000 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1