---
library_name: transformers
license: apache-2.0
base_model: distilbert/distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: practica_3_model
  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. -->

# practica_3_model

This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6600
- Start Accuracy: 0.3233
- End Accuracy: 0.33
- Total Accuracy: 0.3267

## 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: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Start Accuracy | End Accuracy | Total Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:------------:|:--------------:|
| 3.6709        | 1.0   | 88   | 3.6060          | 0.1367         | 0.1133       | 0.125          |
| 3.171         | 2.0   | 176  | 3.1622          | 0.1967         | 0.15         | 0.1733         |
| 2.6294        | 3.0   | 264  | 2.8054          | 0.2983         | 0.275        | 0.2867         |
| 2.3842        | 4.0   | 352  | 2.6600          | 0.3233         | 0.33         | 0.3267         |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.19.1