metadata
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: GPT2_DocBot_SonatafyAI_V3
results: []
GPT2_DocBot_SonatafyAI_V3
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.8062
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: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.0191 | 1.0 | 9715 | 2.9325 |
| 2.8082 | 2.0 | 19430 | 2.8542 |
| 2.7173 | 3.0 | 29145 | 2.8198 |
| 2.6473 | 4.0 | 38860 | 2.8052 |
| 2.5881 | 5.0 | 48575 | 2.8062 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1