metadata
library_name: transformers
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: gp2_basemodel_v10
results: []
gp2_basemodel_v10
This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 5.0581
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: 0.0005
- train_batch_size: 10
- eval_batch_size: 10
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 40
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 500
- num_epochs: 7
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.6393 | 0.9050 | 50 | 5.3195 |
| 4.3822 | 1.8100 | 100 | 5.2026 |
| 4.1742 | 2.7149 | 150 | 5.1256 |
| 4.0114 | 3.6199 | 200 | 5.0652 |
| 3.8758 | 4.5249 | 250 | 5.0247 |
| 3.7629 | 5.4299 | 300 | 5.0265 |
| 3.6674 | 6.3348 | 350 | 5.0581 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0