---
library_name: transformers
license: apache-2.0
base_model: cvapict/distilbert-base-multilingual-cased-aoe-test12
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert-base-multilingual-cased-aoe-test12-aoe-IN-EN_test
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilbert-base-multilingual-cased-aoe-test12-aoe-IN-EN_test

This model is a fine-tuned version of [cvapict/distilbert-base-multilingual-cased-aoe-test12](https://huggingface.co/cvapict/distilbert-base-multilingual-cased-aoe-test12) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1043
- Accuracy: 0.9611

## 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: 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: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.0903        | 1.0   | 647  | 0.1034          | 0.9597   |
| 0.0806        | 2.0   | 1294 | 0.1043          | 0.9611   |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3