---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: cluster-ber
  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. -->

# cluster-ber

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3503
- Accuracy: 0.6486

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 276  | 1.6266          | 0.5743   |
| 1.2555        | 2.0   | 552  | 1.6864          | 0.5815   |
| 1.2555        | 3.0   | 828  | 1.3416          | 0.6522   |
| 0.8703        | 4.0   | 1104 | 1.6043          | 0.5779   |
| 0.8703        | 5.0   | 1380 | 1.3503          | 0.6486   |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2