---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: distilbert-lolchamps
  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-lolchamps

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6389

## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.7704        | 1.0   | 81   | 2.3357          |
| 2.3018        | 2.0   | 162  | 2.1004          |
| 2.1364        | 3.0   | 243  | 1.9746          |
| 2.0045        | 4.0   | 324  | 1.8978          |
| 1.9227        | 5.0   | 405  | 1.8303          |
| 1.8589        | 6.0   | 486  | 1.7865          |
| 1.8129        | 7.0   | 567  | 1.7097          |
| 1.7781        | 8.0   | 648  | 1.7250          |
| 1.754         | 9.0   | 729  | 1.6804          |
| 1.7308        | 10.0  | 810  | 1.6659          |
| 1.7039        | 11.0  | 891  | 1.6875          |
| 1.6905        | 12.0  | 972  | 1.6248          |
| 1.6819        | 13.0  | 1053 | 1.6169          |
| 1.6828        | 14.0  | 1134 | 1.6596          |
| 1.6722        | 15.0  | 1215 | 1.6389          |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.15.2