---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: distilbert-base-uncased-finetuned-DouRC
  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

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: 4.6662
- Exact Match: 0.05
- F1: 0.0270

## 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: 50
- eval_batch_size: 50
- 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     |
|:-------------:|:-----:|:----:|:---------------:|:-----------:|:------:|
| 5.6355        | 1.0   | 10   | 5.3658          | 0.05        | 0.0264 |
| 5.083         | 2.0   | 20   | 4.9659          | 0.035       | 0.0164 |
| 4.6944        | 3.0   | 30   | 4.7939          | 0.03        | 0.0129 |
| 4.4803        | 4.0   | 40   | 4.6992          | 0.04        | 0.0207 |
| 4.389         | 5.0   | 50   | 4.6662          | 0.05        | 0.0270 |


### Framework versions

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