---
license: apache-2.0
base_model: shibing624/text2vec-base-multilingual
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: w2v128b128l
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# w2v128b128l

This model is a fine-tuned version of [shibing624/text2vec-base-multilingual](https://huggingface.co/shibing624/text2vec-base-multilingual) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8963
- Accuracy: 0.6528

## 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: 1e-05
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.1613        | 1.0   | 1407 | 1.0185          | 0.6048   |
| 0.9495        | 2.0   | 2814 | 0.9233          | 0.6422   |
| 0.8848        | 3.0   | 4221 | 0.8963          | 0.6528   |


### Framework versions

- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1