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intanm
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mbert-quoref-webis

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bert
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intanm commited on
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End of training

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  1. README.md +15 -14
README.md CHANGED
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  ---
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- base_model: rifkiaputri/mbert-base-id-finetune-idk-mrc
 
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  tags:
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  - generated_from_trainer
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  model-index:
@@ -12,9 +13,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # mbert-idkmrc-webis
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- This model is a fine-tuned version of [rifkiaputri/mbert-base-id-finetune-idk-mrc](https://huggingface.co/rifkiaputri/mbert-base-id-finetune-idk-mrc) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 5.1871
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 1.0 | 200 | 3.0313 |
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- | No log | 2.0 | 400 | 2.9437 |
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- | 2.8443 | 3.0 | 600 | 3.1788 |
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- | 2.8443 | 4.0 | 800 | 3.5053 |
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- | 1.3187 | 5.0 | 1000 | 3.9812 |
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- | 1.3187 | 6.0 | 1200 | 4.4805 |
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- | 1.3187 | 7.0 | 1400 | 4.7556 |
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- | 0.5368 | 8.0 | 1600 | 4.8345 |
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- | 0.5368 | 9.0 | 1800 | 5.2000 |
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- | 0.2723 | 10.0 | 2000 | 5.1871 |
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  ### Framework versions
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  - Transformers 4.34.1
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- - Pytorch 2.0.1+cu118
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  - Datasets 2.14.5
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  - Tokenizers 0.14.1
 
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  ---
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+ license: apache-2.0
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+ base_model: intanm/mbert-quoref
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  tags:
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  - generated_from_trainer
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  model-index:
 
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  # mbert-idkmrc-webis
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+ This model is a fine-tuned version of [intanm/mbert-quoref](https://huggingface.co/intanm/mbert-quoref) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 5.5573
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 200 | 3.0629 |
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+ | No log | 2.0 | 400 | 2.9790 |
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+ | 2.8287 | 3.0 | 600 | 3.4513 |
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+ | 2.8287 | 4.0 | 800 | 3.7366 |
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+ | 1.2232 | 5.0 | 1000 | 4.1546 |
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+ | 1.2232 | 6.0 | 1200 | 4.7731 |
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+ | 1.2232 | 7.0 | 1400 | 4.8467 |
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+ | 0.4614 | 8.0 | 1600 | 5.2572 |
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+ | 0.4614 | 9.0 | 1800 | 5.4588 |
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+ | 0.2236 | 10.0 | 2000 | 5.5573 |
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  ### Framework versions
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  - Transformers 4.34.1
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+ - Pytorch 2.1.0+cu118
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  - Datasets 2.14.5
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  - Tokenizers 0.14.1