---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: distilbert-base-uncased-finetuned-DouRC_squad
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilbert-base-uncased-finetuned-DouRC_squad

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3446
- Exact Match: 0.595
- F1: 0.4606

## 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: 56
- eval_batch_size: 56
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Exact Match | F1     |
|:-------------:|:-----:|:----:|:---------------:|:-----------:|:------:|
| 2.4681        | 1.0   | 536  | 1.6016          | 0.565       | 0.4282 |
| 1.6197        | 2.0   | 1072 | 1.3800          | 0.57        | 0.4348 |
| 1.3323        | 3.0   | 1608 | 1.3422          | 0.595       | 0.4619 |
| 1.1524        | 4.0   | 2144 | 1.3187          | 0.61        | 0.4775 |
| 1.0458        | 5.0   | 2680 | 1.3446          | 0.595       | 0.4606 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1