metadata
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: gpt2-scratch
results: []
gpt2-scratch
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.4209
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.6168 | 1.0 | 1390 | 4.5492 |
| 4.4783 | 2.0 | 2780 | 4.4209 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1