metadata
tags:
- generated_from_trainer
model-index:
- name: GPT2-705M
results: []
GPT2-705M
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.6575
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: 0.00025
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 6
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.9814 | 1.0 | 786 | 3.7914 |
| 2.5963 | 2.0 | 1572 | 3.6927 |
| 2.3478 | 3.0 | 2358 | 3.7172 |
| 2.0341 | 4.0 | 3144 | 3.6845 |
| 1.7373 | 5.0 | 3930 | 3.6596 |
| 1.7065 | 6.0 | 4716 | 3.6575 |
Framework versions
- Transformers 4.39.1
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0