---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-uncased-finetuned-osdg
  results: []
---

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# distilbert-base-uncased-finetuned-osdg

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: 0.5699
- Acc: 0.8533

## 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: 6e-06
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7

### Training results

| Training Loss | Epoch | Step | Validation Loss | Acc    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.8138        | 1.0   | 509  | 0.7623          | 0.8157 |
| 0.6972        | 2.0   | 1018 | 0.6599          | 0.8312 |
| 0.5908        | 3.0   | 1527 | 0.6084          | 0.8428 |
| 0.5674        | 4.0   | 2036 | 0.5922          | 0.8467 |
| 0.5176        | 5.0   | 2545 | 0.5807          | 0.8533 |
| 0.4818        | 6.0   | 3054 | 0.5695          | 0.8556 |
| 0.4631        | 7.0   | 3563 | 0.5699          | 0.8533 |


### Framework versions

- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1