---
license: mit
tags:
- generated_from_trainer
datasets:
- tweet_eval
model-index:
- name: selims
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# selims

This model is a fine-tuned version of [nlptown/bert-base-multilingual-uncased-sentiment](https://huggingface.co/nlptown/bert-base-multilingual-uncased-sentiment) on the tweet_eval dataset.

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results



### Framework versions

- Transformers 4.15.0
- Pytorch 1.10.1+cpu
- Datasets 2.0.0
- Tokenizers 0.10.3