tensorboard safetensors generated_from_trainer base_model:bert-base-multilingual-cased license:apache-2.0 region:us
---
license: apache-2.0
base_model: bert-base-multilingual-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: comic-name-classification
  results: []
---

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

This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0326
- Accuracy: 0.9956

## 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: 0.001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.0115        | 1.0   | 25   | 0.0377          | 0.9873   |
| 0.006         | 2.0   | 50   | 0.0310          | 0.9933   |
| 0.0118        | 3.0   | 75   | 0.0295          | 0.9937   |
| 0.0021        | 4.0   | 100  | 0.0311          | 0.9952   |
| 0.0018        | 5.0   | 125  | 0.0326          | 0.9956   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
