---
tags:
- generated_from_trainer
model-index:
- name: tuned_Videberta_base_after_big
  results: []
---

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

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2816

## 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
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.2435        | 1.0   | 1369  | 1.9326          |
| 2.038         | 2.0   | 2738  | 1.8181          |
| 1.8689        | 3.0   | 4107  | 1.6199          |
| 1.7463        | 4.0   | 5476  | 1.5103          |
| 1.5708        | 5.0   | 6845  | 1.4584          |
| 1.4138        | 6.0   | 8214  | 1.4221          |
| 1.3471        | 7.0   | 9583  | 1.3381          |
| 1.2514        | 8.0   | 10952 | 1.2927          |
| 1.2016        | 9.0   | 12321 | 1.2848          |
| 1.1532        | 10.0  | 13690 | 1.2816          |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1