---
tags:
- generated_from_trainer
model-index:
- name: vocab2-bert-base-multilingual-uncased-udm-tsa
  results: []
---

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# vocab2-bert-base-multilingual-uncased-udm-tsa

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.8497

## 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: 1e-05
- train_batch_size: 20
- eval_batch_size: 20
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 7.3112        | 1.0   | 6419  | 6.1814          |
| 5.8524        | 2.0   | 12838 | 5.4075          |
| 5.3392        | 3.0   | 19257 | 5.0810          |
| 5.0958        | 4.0   | 25676 | 4.9015          |
| 4.9897        | 5.0   | 32095 | 4.8497          |


### Framework versions

- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1