---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
base_model: bert-base-multilingual-cased
model-index:
- name: nlp-classification-comic-name-weighdecay-0.001-lr-1e-3
  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. -->

# nlp-classification-comic-name-weighdecay-0.001-lr-1e-3

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: 0.0339
- Precision: 0.0
- Recall: 0.0
- F1: 0.0
- Accuracy: 0.9925

## 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: 0.00025
- train_batch_size: 30
- eval_batch_size: 30
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
| No log        | 1.0   | 27   | 0.0356          | 0.0       | 0.0    | 0.0 | 0.9913   |
| No log        | 2.0   | 54   | 0.0366          | 0.0       | 0.0    | 0.0 | 0.9921   |
| No log        | 3.0   | 81   | 0.0345          | 0.0       | 0.0    | 0.0 | 0.9921   |
| No log        | 4.0   | 108  | 0.0346          | 0.0       | 0.0    | 0.0 | 0.9921   |
| No log        | 5.0   | 135  | 0.0341          | 0.0       | 0.0    | 0.0 | 0.9921   |
| No log        | 6.0   | 162  | 0.0337          | 0.0       | 0.0    | 0.0 | 0.9921   |
| No log        | 7.0   | 189  | 0.0345          | 0.0       | 0.0    | 0.0 | 0.9929   |
| No log        | 8.0   | 216  | 0.0338          | 0.0       | 0.0    | 0.0 | 0.9925   |
| No log        | 9.0   | 243  | 0.0338          | 0.0       | 0.0    | 0.0 | 0.9925   |
| No log        | 10.0  | 270  | 0.0339          | 0.0       | 0.0    | 0.0 | 0.9925   |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0