---
tags:
- generated_from_trainer
model-index:
- name: bert-base-spanish-wwm-cased-finetuned-tweets
  results: []
---

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# bert-base-spanish-wwm-cased-finetuned-tweets

This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-cased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7427

## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.7077        | 1.0   | 79   | 2.9532          |
| 2.6746        | 2.0   | 158  | 2.9270          |
| 2.64          | 3.0   | 237  | 2.8595          |
| 2.6593        | 4.0   | 316  | 2.8505          |
| 2.6419        | 5.0   | 395  | 2.8306          |
| 2.6556        | 6.0   | 474  | 2.8511          |
| 2.6474        | 7.0   | 553  | 2.7852          |
| 2.6399        | 8.0   | 632  | 2.8173          |
| 2.6516        | 9.0   | 711  | 2.7241          |
| 2.658         | 10.0  | 790  | 2.7709          |
| 2.6677        | 11.0  | 869  | 2.7407          |
| 2.6455        | 12.0  | 948  | 2.7636          |
| 2.6502        | 13.0  | 1027 | 2.7842          |
| 2.6235        | 14.0  | 1106 | 2.7265          |
| 2.6037        | 15.0  | 1185 | 2.7647          |
| 2.5795        | 16.0  | 1264 | 2.7656          |
| 2.5734        | 17.0  | 1343 | 2.7326          |
| 2.5643        | 18.0  | 1422 | 2.6886          |
| 2.5787        | 19.0  | 1501 | 2.7471          |
| 2.5282        | 20.0  | 1580 | 2.7318          |
| 2.5396        | 21.0  | 1659 | 2.7465          |
| 2.5328        | 22.0  | 1738 | 2.7518          |
| 2.5133        | 23.0  | 1817 | 2.7157          |
| 2.518         | 24.0  | 1896 | 2.7203          |
| 2.5014        | 25.0  | 1975 | 2.6893          |
| 2.4974        | 26.0  | 2054 | 2.6696          |
| 2.4754        | 27.0  | 2133 | 2.6521          |
| 2.4755        | 28.0  | 2212 | 2.7549          |
| 2.5177        | 29.0  | 2291 | 2.7126          |
| 2.4905        | 30.0  | 2370 | 2.6880          |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2