---
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: 0.8231
- Acc: 0.7696

## 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    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 1.072         | 1.0   | 904  | 1.0274          | 0.7242 |
| 0.8997        | 2.0   | 1808 | 0.9168          | 0.7481 |
| 0.8137        | 3.0   | 2712 | 0.8687          | 0.7547 |
| 0.7966        | 4.0   | 3616 | 0.8400          | 0.7618 |
| 0.7209        | 5.0   | 4520 | 0.8280          | 0.7677 |
| 0.6666        | 6.0   | 5424 | 0.8300          | 0.7671 |
| 0.6655        | 7.0   | 6328 | 0.8231          | 0.7696 |


### Framework versions

- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.2.0
- Tokenizers 0.12.1