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---
license: other
tags:
- generated_from_trainer
model-index:
- name: distilbert-allsides
  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-allsides

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9138
- Acc: 0.7094

## 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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 12345
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 16
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Acc    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.7667        | 1.0   | 822  | 0.7003          | 0.6820 |
| 0.6893        | 2.0   | 1644 | 0.6619          | 0.6981 |
| 0.6177        | 3.0   | 2466 | 0.6736          | 0.7064 |
| 0.595         | 4.0   | 3288 | 0.6642          | 0.7091 |
| 0.5179        | 5.0   | 4110 | 0.6936          | 0.7121 |
| 0.4698        | 6.0   | 4932 | 0.7670          | 0.7106 |
| 0.463         | 7.0   | 5754 | 0.8537          | 0.7121 |
| 0.4345        | 8.0   | 6576 | 0.9138          | 0.7094 |


### Framework versions

- Transformers 4.11.3
- Pytorch 1.10.1
- Datasets 1.17.0
- Tokenizers 0.10.3
