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---
license: apache-2.0
base_model: google/muril-base-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: muril_classification
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. -->
# muril_classification
This model is a fine-tuned version of [google/muril-base-cased](https://huggingface.co/google/muril-base-cased) on Hate and Offensive Comments dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4072
- Accuracy: 0.843
## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.6127 | 1.0 | 625 | 0.4807 | 0.809 |
| 0.4818 | 2.0 | 1250 | 0.4072 | 0.843 |
### Framework versions
- Transformers 4.32.1
- Pytorch 2.2.1+cpu
- Datasets 2.12.0
- Tokenizers 0.13.2
|