metadata
license: apache-2.0
base_model: distilbert/distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: distilbert-qasports-basket-small
results: []
distilbert-qasports-basket-small
This model is a fine-tuned version of distilbert/distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.4353
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 162 | 1.5757 |
| No log | 2.0 | 324 | 1.2079 |
| No log | 3.0 | 486 | 1.1946 |
| 1.6938 | 4.0 | 648 | 1.2071 |
| 1.6938 | 5.0 | 810 | 1.2500 |
| 1.6938 | 6.0 | 972 | 1.3132 |
| 0.4045 | 7.0 | 1134 | 1.3599 |
| 0.4045 | 8.0 | 1296 | 1.3778 |
| 0.4045 | 9.0 | 1458 | 1.4255 |
| 0.1872 | 10.0 | 1620 | 1.4353 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2