---
license: apache-2.0
base_model: shibing624/text2vec-base-chinese
tags:
- generated_from_trainer
model-index:
- name: text2vec-base-chinese-finetuned-imdb
  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. -->

# text2vec-base-chinese-finetuned-imdb

This model is a fine-tuned version of [shibing624/text2vec-base-chinese](https://huggingface.co/shibing624/text2vec-base-chinese) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.6629

## 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: 3.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 5.5815        | 1.0   | 157  | 4.3307          |
| 4.2485        | 2.0   | 314  | 3.7976          |
| 3.9382        | 3.0   | 471  | 3.7050          |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1