---
license: mit
base_model:
- agentlans/multilingual-e5-small-aligned-v2
language:
- en
- zh
- fr
- pt
- es
- ja
- tr
- ru
- ar
- ko
- th
- it
- de
- vi
- ms
- id
- fil
- hi
- pl
- cs
- nl
- km
- my
- fa
- gu
- ur
- te
- mr
- he
- bn
- ta
- uk
- bo
- kk
- mn
- ug
- yue
datasets:
- agentlans/refusal-classifier-data
pipeline_tag: text-classification
---

<!-- 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. -->

# multilingual-e5-small-aligned-v2-conversation-refusal

This model is a fine-tuned version of [agentlans/multilingual-e5-small-aligned-v2] on the [agentlans/refusal-classifier-data] dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2665
- Accuracy: 0.9153
- Num Input Tokens Seen: 5347200

## 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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5.0

### Training results



### Framework versions

- Transformers 5.0.0.dev0
- Pytorch 2.9.1+cu128
- Datasets 4.4.1
- Tokenizers 0.22.1