---
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: 1.5996

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.7248        | 1.0   | 76   | 2.3018          |
| 2.2574        | 2.0   | 152  | 2.0571          |
| 2.0952        | 3.0   | 228  | 1.9373          |
| 1.9549        | 4.0   | 304  | 1.8384          |
| 1.8657        | 5.0   | 380  | 1.7585          |
| 1.8215        | 6.0   | 456  | 1.7498          |
| 1.7717        | 7.0   | 532  | 1.7060          |
| 1.7256        | 8.0   | 608  | 1.6828          |
| 1.6847        | 9.0   | 684  | 1.6005          |
| 1.6762        | 10.0  | 760  | 1.6352          |
| 1.6485        | 11.0  | 836  | 1.6055          |
| 1.6466        | 12.0  | 912  | 1.5956          |
| 1.6252        | 13.0  | 988  | 1.5756          |
| 1.6183        | 14.0  | 1064 | 1.5420          |
| 1.6347        | 15.0  | 1140 | 1.5996          |


### Framework versions

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