---
license: apache-2.0
base_model: distilbert/distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: distilbert-qasports-basket-small
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# distilbert-qasports-basket-small

This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/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