---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
datasets:
- web_of_science
model-index:
- name: distilbert-base-uncased-finetuned-wos
  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-wos

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the web_of_science dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2025

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.5312        | 1.0   | 357  | 2.2975          |
| 2.3847        | 2.0   | 714  | 2.2568          |
| 2.3388        | 3.0   | 1071 | 2.2108          |
| 2.3076        | 4.0   | 1428 | 2.2158          |
| 2.2887        | 5.0   | 1785 | 2.2154          |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3