metadata
license: mit
base_model: gpt2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: s1_5epoch
results: []
s1_5epoch
This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6345
- Accuracy: 0.7966
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: 24
- eval_batch_size: 24
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 192
- total_eval_batch_size: 192
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.7369 | 1.0 | 3545 | 0.6993 | 0.7806 |
| 0.6889 | 2.0 | 7090 | 0.6606 | 0.7901 |
| 0.6694 | 3.0 | 10635 | 0.6445 | 0.7942 |
| 0.66 | 4.0 | 14180 | 0.6373 | 0.7959 |
| 0.6561 | 5.0 | 17725 | 0.6345 | 0.7966 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0