---
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-v3
  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-v3

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: 0.3384
- Accuracy: 0.9036
- Precision: 0.8993
- Recall: 0.8285
- F1: 0.8324
- Hamming Loss: 0.0964

## 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: 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:---------:|:------:|:------:|:------------:|
| 0.7752        | 1.0   | 1744  | 0.7222          | 0.7342   | 0.7317    | 0.6509 | 0.6524 | 0.2658       |
| 0.6276        | 2.0   | 3488  | 0.5259          | 0.8059   | 0.8008    | 0.7205 | 0.7264 | 0.1941       |
| 0.4813        | 3.0   | 5232  | 0.4473          | 0.8353   | 0.8281    | 0.7604 | 0.7616 | 0.1647       |
| 0.4063        | 4.0   | 6976  | 0.4453          | 0.8393   | 0.8353    | 0.7616 | 0.7662 | 0.1607       |
| 0.3361        | 5.0   | 8720  | 0.3882          | 0.8658   | 0.8661    | 0.7894 | 0.7959 | 0.1342       |
| 0.2883        | 6.0   | 10464 | 0.3773          | 0.8747   | 0.8693    | 0.8022 | 0.8043 | 0.1253       |
| 0.2409        | 7.0   | 12208 | 0.3681          | 0.8803   | 0.8753    | 0.8056 | 0.8081 | 0.1197       |
| 0.2168        | 8.0   | 13952 | 0.3470          | 0.8899   | 0.8836    | 0.8161 | 0.8181 | 0.1101       |
| 0.1816        | 9.0   | 15696 | 0.3750          | 0.8838   | 0.8832    | 0.8071 | 0.8133 | 0.1162       |
| 0.1696        | 10.0  | 17440 | 0.3609          | 0.8914   | 0.8871    | 0.8161 | 0.8200 | 0.1086       |
| 0.1572        | 11.0  | 19184 | 0.3470          | 0.8977   | 0.8924    | 0.8228 | 0.8261 | 0.1023       |
| 0.1385        | 12.0  | 20928 | 0.3384          | 0.9036   | 0.8993    | 0.8285 | 0.8324 | 0.0964       |


### Framework versions

- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Tokenizers 0.13.3