metadata
license: mit
tags:
- generated_from_trainer
model-index:
- name: gpt2-shakespeare
results: []
gpt2-shakespeare
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.0269
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: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 280
- num_epochs: 3
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
No log | 0.11 | 100 | 2.7142 |
No log | 0.21 | 200 | 2.4752 |
No log | 0.32 | 300 | 2.3674 |
No log | 0.42 | 400 | 2.3177 |
2.9171 | 0.53 | 500 | 2.2626 |
2.9171 | 0.63 | 600 | 2.2268 |
2.9171 | 0.74 | 700 | 2.2035 |
2.9171 | 0.84 | 800 | 2.1836 |
2.9171 | 0.95 | 900 | 2.1626 |
2.5537 | 1.05 | 1000 | 2.1444 |
2.5537 | 1.16 | 1100 | 2.1314 |
2.5537 | 1.26 | 1200 | 2.1192 |
2.5537 | 1.37 | 1300 | 2.1096 |
2.5537 | 1.47 | 1400 | 2.0968 |
2.4399 | 1.58 | 1500 | 2.0868 |
2.4399 | 1.68 | 1600 | 2.0765 |
2.4399 | 1.79 | 1700 | 2.0675 |
2.4399 | 1.89 | 1800 | 2.0606 |
2.4399 | 2.0 | 1900 | 2.0556 |
2.4006 | 2.1 | 2000 | 2.0491 |
2.4006 | 2.21 | 2100 | 2.0454 |
2.4006 | 2.31 | 2200 | 2.0389 |
2.4006 | 2.42 | 2300 | 2.0372 |
2.4006 | 2.52 | 2400 | 2.0326 |
2.3532 | 2.63 | 2500 | 2.0316 |
2.3532 | 2.73 | 2600 | 2.0286 |
2.3532 | 2.84 | 2700 | 2.0276 |
2.3532 | 2.94 | 2800 | 2.0269 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2