---
license: mit
base_model: facebook/w2v-bert-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: results
  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. -->

# results

This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/facebook/w2v-bert-2.0) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6006
- Accuracy: 0.5153
- F1 Score Class 0: 0.0
- F1 Score Class 1: 0.0
- F1 Score Class 2: 0.0
- F1 Score Class 3: 0.0
- F1 Score Class 4: 0.0
- F1 Score Class 5: 0.0
- F1 Score Class 6: 0.0
- F1 Score Class 7: 0.6801
- F1 Score Class 8: 0.0

## 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: 0.0001
- train_batch_size: 16
- eval_batch_size: 8
- 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 | F1 Score Class 0 | F1 Score Class 1 | F1 Score Class 2 | F1 Score Class 3 | F1 Score Class 4 | F1 Score Class 5 | F1 Score Class 6 | F1 Score Class 7 | F1 Score Class 8 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:----------------:|:----------------:|:----------------:|:----------------:|:----------------:|:----------------:|:----------------:|:----------------:|:----------------:|
| 1.506         | 1.0   | 533  | 1.6378          | 0.5153   | 0.0              | 0.0              | 0.0              | 0.0              | 0.0              | 0.0              | 0.0              | 0.6801           | 0.0              |
| 1.4754        | 2.0   | 1066 | 1.6081          | 0.5153   | 0.0              | 0.0              | 0.0              | 0.0              | 0.0              | 0.0              | 0.0              | 0.6801           | 0.0              |
| 1.5661        | 3.0   | 1599 | 1.6086          | 0.5153   | 0.0              | 0.0              | 0.0              | 0.0              | 0.0              | 0.0              | 0.0              | 0.6801           | 0.0              |
| 1.5656        | 4.0   | 2132 | 1.6012          | 0.5153   | 0.0              | 0.0              | 0.0              | 0.0              | 0.0              | 0.0              | 0.0              | 0.6801           | 0.0              |
| 1.6768        | 5.0   | 2665 | 1.6281          | 0.5153   | 0.0              | 0.0              | 0.0              | 0.0              | 0.0              | 0.0              | 0.0              | 0.6801           | 0.0              |
| 1.6289        | 6.0   | 3198 | 1.6011          | 0.5153   | 0.0              | 0.0              | 0.0              | 0.0              | 0.0              | 0.0              | 0.0              | 0.6801           | 0.0              |
| 1.4727        | 7.0   | 3731 | 1.6015          | 0.5153   | 0.0              | 0.0              | 0.0              | 0.0              | 0.0              | 0.0              | 0.0              | 0.6801           | 0.0              |
| 1.5386        | 8.0   | 4264 | 1.6054          | 0.5153   | 0.0              | 0.0              | 0.0              | 0.0              | 0.0              | 0.0              | 0.0              | 0.6801           | 0.0              |
| 1.5436        | 9.0   | 4797 | 1.6020          | 0.5153   | 0.0              | 0.0              | 0.0              | 0.0              | 0.0              | 0.0              | 0.0              | 0.6801           | 0.0              |
| 1.4974        | 10.0  | 5330 | 1.6006          | 0.5153   | 0.0              | 0.0              | 0.0              | 0.0              | 0.0              | 0.0              | 0.0              | 0.6801           | 0.0              |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1