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End of training

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  1. README.md +8 -8
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  ---
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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: muril_classification
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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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- # muril_classification
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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: 0.4072
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- - Accuracy: 0.843
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.6127 | 1.0 | 625 | 0.4807 | 0.809 |
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- | 0.4818 | 2.0 | 1250 | 0.4072 | 0.843 |
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  ### Framework versions
 
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  ---
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  license: apache-2.0
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+ base_model: google/fnet-base
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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: FNet_Classification
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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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+ # FNet_Classification
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+ This model is a fine-tuned version of [google/fnet-base](https://huggingface.co/google/fnet-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3889
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+ - Accuracy: 0.813
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.5529 | 1.0 | 625 | 0.4144 | 0.804 |
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+ | 0.4314 | 2.0 | 1250 | 0.3889 | 0.813 |
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  ### Framework versions