---
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-v6
  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-v6

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: 0.3128
- Accuracy: 0.9056
- Precision: 0.9032
- Recall: 0.8293
- F1: 0.8345
- Hamming Loss: 0.0944

## 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: 14

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | Precision | Recall | F1     | Hamming Loss |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:---------:|:------:|:------:|:------------:|
| 1.0141        | 1.0   | 1744  | 0.7804          | 0.7158   | 0.7328    | 0.6183 | 0.6345 | 0.2842       |
| 0.6292        | 2.0   | 3488  | 0.5384          | 0.7973   | 0.8111    | 0.7029 | 0.7213 | 0.2027       |
| 0.4438        | 3.0   | 5232  | 0.4236          | 0.8462   | 0.8346    | 0.7762 | 0.7732 | 0.1538       |
| 0.3626        | 4.0   | 6976  | 0.3856          | 0.8651   | 0.8524    | 0.7933 | 0.7903 | 0.1349       |
| 0.3141        | 5.0   | 8720  | 0.3697          | 0.8712   | 0.8688    | 0.7998 | 0.8028 | 0.1288       |
| 0.2575        | 6.0   | 10464 | 0.3689          | 0.8751   | 0.8758    | 0.8003 | 0.8058 | 0.1249       |
| 0.2117        | 7.0   | 12208 | 0.3329          | 0.8890   | 0.8832    | 0.8169 | 0.8184 | 0.1110       |
| 0.1864        | 8.0   | 13952 | 0.3235          | 0.9010   | 0.8946    | 0.8278 | 0.8293 | 0.0990       |
| 0.1555        | 9.0   | 15696 | 0.3128          | 0.9056   | 0.9032    | 0.8293 | 0.8345 | 0.0944       |
| 0.1322        | 10.0  | 17440 | 0.3311          | 0.9088   | 0.9010    | 0.8376 | 0.8377 | 0.0912       |
| 0.1111        | 11.0  | 19184 | 0.3394          | 0.9101   | 0.9081    | 0.8319 | 0.8383 | 0.0899       |
| 0.0874        | 12.0  | 20928 | 0.3472          | 0.9148   | 0.9100    | 0.8407 | 0.8440 | 0.0852       |
| 0.0659        | 13.0  | 22672 | 0.3635          | 0.9131   | 0.9072    | 0.8400 | 0.8422 | 0.0869       |
| 0.0608        | 14.0  | 24416 | 0.3560          | 0.9187   | 0.9140    | 0.8452 | 0.8482 | 0.0813       |


### Framework versions

- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Tokenizers 0.13.3