metadata
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: thesisv2
results: []
thesisv2
This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.0449
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: 0.0002
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 6.3281 | 0.19 | 25 | 5.6680 |
| 4.3294 | 0.38 | 50 | 3.5996 |
| 3.3384 | 0.56 | 75 | 3.3184 |
| 3.532 | 0.75 | 100 | 3.1738 |
| 3.5524 | 0.94 | 125 | 3.0469 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.15.2