End of training
Browse files- README.md +66 -0
- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: google/muril-base-cased
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: MuRILHateSpeechClassification
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# MuRILHateSpeechClassification
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This model is a fine-tuned version of [google/muril-base-cased](https://huggingface.co/google/muril-base-cased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7371
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- Accuracy: 0.8407
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.5519 | 1.0 | 1137 | 0.4704 | 0.8110 |
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| 0.4345 | 2.0 | 2274 | 0.4862 | 0.8198 |
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| 0.3547 | 3.0 | 3411 | 0.4660 | 0.8473 |
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| 0.2919 | 4.0 | 4548 | 0.6066 | 0.8440 |
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| 0.2205 | 5.0 | 5685 | 0.6805 | 0.8429 |
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| 0.1759 | 6.0 | 6822 | 0.7371 | 0.8407 |
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### Framework versions
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- Transformers 4.48.1
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- Pytorch 2.5.1+cu124
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- Datasets 3.2.0
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- Tokenizers 0.21.0
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 950254592
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