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intanm
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mbert-quoref-webis-2

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bert
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End of training

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  1. README.md +9 -15
  2. pytorch_model.bin +1 -1
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-2
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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: 4.7820
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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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 |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 1.0 | 200 | 2.8877 |
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- | No log | 2.0 | 400 | 2.8171 |
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- | 2.7028 | 3.0 | 600 | 3.0503 |
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- | 2.7028 | 4.0 | 800 | 3.3347 |
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- | 1.2393 | 5.0 | 1000 | 3.8477 |
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- | 1.2393 | 6.0 | 1200 | 4.2644 |
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- | 1.2393 | 7.0 | 1400 | 4.4060 |
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- | 0.5106 | 8.0 | 1600 | 4.6188 |
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- | 0.5106 | 9.0 | 1800 | 4.7645 |
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- | 0.2634 | 10.0 | 2000 | 4.7820 |
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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-2
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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: 3.1719
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 3
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 200 | 3.0455 |
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+ | No log | 2.0 | 400 | 2.9841 |
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+ | 2.8889 | 3.0 | 600 | 3.1719 |
 
 
 
 
 
 
 
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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
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