neo-model-test
This model is a fine-tuned version of Tincando/neo-model-test on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.5213
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.2656 | 1.0 | 1104 | 3.5006 |
| 3.1478 | 2.0 | 2208 | 3.5114 |
| 3.0769 | 3.0 | 3312 | 3.5213 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2