---
license: apache-2.0
base_model: distilbert-base-multilingual-cased
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: spa-eng-pos-tagging-v5
  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. -->

# spa-eng-pos-tagging-v5

This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3191
- Accuracy: 0.9175
- Precision: 0.9166
- Recall: 0.8431
- F1: 0.8483
- Hamming Loss: 0.0825

## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 12

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | Precision | Recall | F1     | Hamming Loss |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:---------:|:------:|:------:|:------------:|
| 1.0059        | 1.0   | 1744  | 0.8050          | 0.7117   | 0.7074    | 0.6280 | 0.6300 | 0.2883       |
| 0.6286        | 2.0   | 3488  | 0.5338          | 0.8024   | 0.8121    | 0.7148 | 0.7270 | 0.1976       |
| 0.4449        | 3.0   | 5232  | 0.4519          | 0.8435   | 0.8300    | 0.7747 | 0.7700 | 0.1565       |
| 0.3647        | 4.0   | 6976  | 0.3849          | 0.8618   | 0.8551    | 0.7900 | 0.7907 | 0.1382       |
| 0.2968        | 5.0   | 8720  | 0.3579          | 0.8772   | 0.8769    | 0.8053 | 0.8088 | 0.1228       |
| 0.255         | 6.0   | 10464 | 0.3298          | 0.8868   | 0.8756    | 0.8179 | 0.8152 | 0.1132       |
| 0.2025        | 7.0   | 12208 | 0.3245          | 0.8941   | 0.8917    | 0.8224 | 0.8251 | 0.1059       |
| 0.176         | 8.0   | 13952 | 0.3324          | 0.8980   | 0.8970    | 0.8260 | 0.8293 | 0.1020       |
| 0.1399        | 9.0   | 15696 | 0.3376          | 0.9038   | 0.9019    | 0.8280 | 0.8331 | 0.0962       |
| 0.1198        | 10.0  | 17440 | 0.3251          | 0.9108   | 0.9075    | 0.8379 | 0.8412 | 0.0892       |
| 0.0973        | 11.0  | 19184 | 0.3191          | 0.9175   | 0.9166    | 0.8431 | 0.8483 | 0.0825       |
| 0.0763        | 12.0  | 20928 | 0.3262          | 0.9192   | 0.9166    | 0.8464 | 0.8501 | 0.0808       |


### Framework versions

- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Tokenizers 0.13.3