---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased__sst2__train-8-0
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# distilbert-base-uncased__sst2__train-8-0

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: 0.6527
- Accuracy: 0.6150

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.7204        | 1.0   | 4    | 0.6917          | 0.5074   |
| 0.6649        | 2.0   | 8    | 0.6879          | 0.6118   |
| 0.6472        | 3.0   | 12   | 0.6838          | 0.6035   |
| 0.6176        | 4.0   | 16   | 0.6774          | 0.6299   |
| 0.5697        | 5.0   | 20   | 0.6697          | 0.6326   |
| 0.508         | 6.0   | 24   | 0.6615          | 0.6310   |
| 0.4138        | 7.0   | 28   | 0.6553          | 0.6222   |
| 0.345         | 8.0   | 32   | 0.6527          | 0.6150   |
| 0.2653        | 9.0   | 36   | 0.6583          | 0.6200   |
| 0.2017        | 10.0  | 40   | 0.6712          | 0.6145   |
| 0.1492        | 11.0  | 44   | 0.6842          | 0.6145   |


### Framework versions

- Transformers 4.15.0
- Pytorch 1.10.2+cu102
- Datasets 1.18.2
- Tokenizers 0.10.3