---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: prova2
  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. -->

# prova2

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: 2.2220
- Accuracy: 0.4833

## 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: 1
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 139  | 1.6285          | 0.3667   |
| No log        | 2.0   | 278  | 1.7874          | 0.3167   |
| No log        | 3.0   | 417  | 1.6707          | 0.45     |
| 1.2047        | 4.0   | 556  | 1.6612          | 0.4      |
| 1.2047        | 5.0   | 695  | 1.8812          | 0.45     |
| 1.2047        | 6.0   | 834  | 2.2119          | 0.4833   |
| 1.2047        | 7.0   | 973  | 2.0258          | 0.4833   |
| 0.4952        | 8.0   | 1112 | 2.2140          | 0.45     |
| 0.4952        | 9.0   | 1251 | 2.2031          | 0.45     |
| 0.4952        | 10.0  | 1390 | 2.2220          | 0.4833   |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cpu
- Datasets 2.14.6
- Tokenizers 0.14.1