---
library_name: transformers
license: apache-2.0
base_model: lxyuan/distilbert-base-multilingual-cased-sentiments-student
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: text_twitter_test
  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. -->

# text_twitter_test

This model is a fine-tuned version of [lxyuan/distilbert-base-multilingual-cased-sentiments-student](https://huggingface.co/lxyuan/distilbert-base-multilingual-cased-sentiments-student) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1495
- Accuracy: 0.7577
- F1: 0.7578

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| No log        | 1.0   | 487  | 0.6929          | 0.7094   | 0.7080 |
| 0.8492        | 2.0   | 974  | 0.7332          | 0.7515   | 0.7492 |
| 0.5179        | 3.0   | 1461 | 0.8603          | 0.7444   | 0.7428 |
| 0.3549        | 4.0   | 1948 | 1.1495          | 0.7577   | 0.7578 |
| 0.2481        | 5.0   | 2435 | 1.2338          | 0.7556   | 0.7552 |


### Framework versions

- Transformers 4.49.0
- Pytorch 2.5.1+cu121
- Datasets 3.4.1
- Tokenizers 0.21.1