---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: m3e-base-text-classification
  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. -->

# m3e-base-text-classification

This model is a fine-tuned version of [moka-ai/m3e-base](https://huggingface.co/moka-ai/m3e-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6529
- Accuracy: 0.7826

## 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.495         | 1.0   | 1009 | 0.5175          | 0.7783   |
| 0.3792        | 2.0   | 2018 | 0.5600          | 0.7748   |
| 0.2503        | 3.0   | 3027 | 0.6529          | 0.7826   |


### Framework versions

- Transformers 4.29.2
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.11.6