---
license: apache-2.0
base_model: bert-base-multilingual-uncased
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: bert_multi-uncased-finetuned-pos-tr
  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. -->

# bert_multi-uncased-finetuned-pos-tr

This model is a fine-tuned version of [bert-base-multilingual-uncased](https://huggingface.co/bert-base-multilingual-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3933
- Precision: 0.9225
- Recall: 0.9275
- F1: 0.9250
- Accuracy: 0.9564

## 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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.4051        | 1.0   | 836   | 0.1752          | 0.9110    | 0.9098 | 0.9104 | 0.9493   |
| 0.1506        | 2.0   | 1672  | 0.1492          | 0.9112    | 0.9207 | 0.9159 | 0.9529   |
| 0.1182        | 3.0   | 2508  | 0.1632          | 0.9183    | 0.9229 | 0.9206 | 0.9552   |
| 0.0973        | 4.0   | 3344  | 0.1544          | 0.9197    | 0.9216 | 0.9206 | 0.9550   |
| 0.0796        | 5.0   | 4180  | 0.1676          | 0.9227    | 0.9221 | 0.9224 | 0.9569   |
| 0.0673        | 6.0   | 5016  | 0.1829          | 0.9196    | 0.9206 | 0.9201 | 0.9548   |
| 0.052         | 7.0   | 5852  | 0.1850          | 0.9220    | 0.9237 | 0.9228 | 0.9562   |
| 0.0448        | 8.0   | 6688  | 0.1980          | 0.9187    | 0.9305 | 0.9246 | 0.9571   |
| 0.0394        | 9.0   | 7524  | 0.2298          | 0.9147    | 0.9204 | 0.9176 | 0.9531   |
| 0.0298        | 10.0  | 8360  | 0.2288          | 0.9217    | 0.9277 | 0.9247 | 0.9571   |
| 0.028         | 11.0  | 9196  | 0.2434          | 0.9173    | 0.9231 | 0.9202 | 0.9545   |
| 0.0233        | 12.0  | 10032 | 0.2609          | 0.9174    | 0.9275 | 0.9225 | 0.9558   |
| 0.018         | 13.0  | 10868 | 0.2701          | 0.9211    | 0.9249 | 0.9230 | 0.9559   |
| 0.0168        | 14.0  | 11704 | 0.2694          | 0.9206    | 0.9261 | 0.9234 | 0.9564   |
| 0.0157        | 15.0  | 12540 | 0.2774          | 0.9213    | 0.929  | 0.9251 | 0.9568   |
| 0.0148        | 16.0  | 13376 | 0.2923          | 0.9229    | 0.9255 | 0.9242 | 0.9565   |
| 0.013         | 17.0  | 14212 | 0.2853          | 0.9229    | 0.9263 | 0.9246 | 0.9574   |
| 0.0104        | 18.0  | 15048 | 0.2899          | 0.9224    | 0.9265 | 0.9245 | 0.9569   |
| 0.0096        | 19.0  | 15884 | 0.2769          | 0.9239    | 0.9253 | 0.9246 | 0.9571   |
| 0.009         | 20.0  | 16720 | 0.3074          | 0.9204    | 0.9267 | 0.9235 | 0.9570   |
| 0.0098        | 21.0  | 17556 | 0.2985          | 0.9221    | 0.9287 | 0.9254 | 0.9573   |
| 0.0071        | 22.0  | 18392 | 0.3293          | 0.9216    | 0.9277 | 0.9246 | 0.9561   |
| 0.0069        | 23.0  | 19228 | 0.3135          | 0.9242    | 0.9285 | 0.9263 | 0.9572   |
| 0.007         | 24.0  | 20064 | 0.3098          | 0.9226    | 0.9291 | 0.9258 | 0.9576   |
| 0.0072        | 25.0  | 20900 | 0.3352          | 0.9241    | 0.9288 | 0.9265 | 0.9580   |
| 0.0048        | 26.0  | 21736 | 0.3384          | 0.9228    | 0.9269 | 0.9249 | 0.9567   |
| 0.006         | 27.0  | 22572 | 0.3316          | 0.9232    | 0.9276 | 0.9254 | 0.9575   |
| 0.0057        | 28.0  | 23408 | 0.3381          | 0.9238    | 0.9272 | 0.9255 | 0.9578   |
| 0.0051        | 29.0  | 24244 | 0.3494          | 0.9211    | 0.9282 | 0.9246 | 0.9568   |
| 0.0046        | 30.0  | 25080 | 0.3379          | 0.9237    | 0.9254 | 0.9246 | 0.9570   |
| 0.0044        | 31.0  | 25916 | 0.3512          | 0.9232    | 0.9251 | 0.9242 | 0.9565   |
| 0.0037        | 32.0  | 26752 | 0.3625          | 0.9227    | 0.9252 | 0.9240 | 0.9563   |
| 0.0029        | 33.0  | 27588 | 0.3476          | 0.9220    | 0.9264 | 0.9242 | 0.9574   |
| 0.0039        | 34.0  | 28424 | 0.3635          | 0.9238    | 0.9275 | 0.9257 | 0.9575   |
| 0.0034        | 35.0  | 29260 | 0.3685          | 0.9205    | 0.9247 | 0.9226 | 0.9554   |
| 0.0033        | 36.0  | 30096 | 0.3693          | 0.9219    | 0.9245 | 0.9232 | 0.9555   |
| 0.003         | 37.0  | 30932 | 0.3698          | 0.9239    | 0.9257 | 0.9248 | 0.9573   |
| 0.0024        | 38.0  | 31768 | 0.3772          | 0.9242    | 0.926  | 0.9251 | 0.9570   |
| 0.0029        | 39.0  | 32604 | 0.3798          | 0.9246    | 0.9281 | 0.9263 | 0.9563   |
| 0.0024        | 40.0  | 33440 | 0.3804          | 0.9215    | 0.9264 | 0.9239 | 0.9562   |
| 0.0017        | 41.0  | 34276 | 0.3804          | 0.9238    | 0.9274 | 0.9256 | 0.9570   |
| 0.0025        | 42.0  | 35112 | 0.3808          | 0.9252    | 0.9273 | 0.9263 | 0.9570   |
| 0.0025        | 43.0  | 35948 | 0.3794          | 0.9237    | 0.9282 | 0.9259 | 0.9568   |
| 0.0029        | 44.0  | 36784 | 0.3784          | 0.9249    | 0.9282 | 0.9265 | 0.9576   |
| 0.0019        | 45.0  | 37620 | 0.3895          | 0.9238    | 0.9281 | 0.9259 | 0.9569   |
| 0.0019        | 46.0  | 38456 | 0.3859          | 0.9238    | 0.9284 | 0.9261 | 0.9572   |
| 0.0017        | 47.0  | 39292 | 0.3906          | 0.9222    | 0.9277 | 0.9249 | 0.9567   |
| 0.0016        | 48.0  | 40128 | 0.3933          | 0.9221    | 0.9273 | 0.9247 | 0.9565   |
| 0.0016        | 49.0  | 40964 | 0.3924          | 0.9224    | 0.9273 | 0.9248 | 0.9565   |
| 0.0017        | 50.0  | 41800 | 0.3933          | 0.9225    | 0.9275 | 0.9250 | 0.9564   |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.2.1+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1