---
license: apache-2.0
base_model: distilbert/distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-jul4
  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-base-jul4

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: 0.4076

## 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: 5e-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
- lr_scheduler_warmup_steps: 500
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.5366        | 1.0   | 2161  | 0.3331          |
| 0.233         | 2.0   | 4322  | 0.2973          |
| 0.2538        | 3.0   | 6483  | 0.3052          |
| 0.1026        | 4.0   | 8644  | 0.3407          |
| 0.3053        | 5.0   | 10805 | 0.3259          |
| 0.1347        | 6.0   | 12966 | 0.3799          |
| 0.1464        | 7.0   | 15127 | 0.3561          |
| 0.0001        | 8.0   | 17288 | 0.3638          |
| 0.0002        | 9.0   | 19449 | 0.3972          |
| 0.0           | 10.0  | 21610 | 0.4076          |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1