---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: proof_eval2-distilbert
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# proof_eval2-distilbert

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: 0.3134
- Accuracy: 0.8800

## 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: 5e-05
- 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: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 392  | 0.3296          | 0.8693   |
| 0.4457        | 2.0   | 784  | 0.3070          | 0.8755   |
| 0.2966        | 3.0   | 1176 | 0.2910          | 0.8788   |
| 0.244         | 4.0   | 1568 | 0.3055          | 0.8844   |
| 0.244         | 5.0   | 1960 | 0.3134          | 0.8800   |


### Framework versions

- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2