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: 6.8761
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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.57 | 1 | 9.7270 |
| No log | 1.71 | 3 | 9.0873 |
| No log | 2.86 | 5 | 8.1474 |
| No log | 4.0 | 7 | 8.1599 |
| No log | 4.57 | 8 | 7.7294 |
| No log | 5.71 | 10 | 7.6325 |
| No log | 6.86 | 12 | 7.3546 |
| No log | 8.0 | 14 | 7.0730 |
| No log | 8.57 | 15 | 6.8761 |
Framework versions
- Transformers 4.39.1
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0