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End of training

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  1. README.md +12 -14
  2. model.safetensors +1 -1
README.md CHANGED
@@ -5,8 +5,6 @@ tags:
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  model-index:
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  - name: QA_FineTuned_AraElectra
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  results: []
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- language:
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- - ar
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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
@@ -16,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [aubmindlab/araelectra-base-generator](https://huggingface.co/aubmindlab/araelectra-base-generator) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 3.7412
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  ## Model description
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@@ -50,16 +48,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 2.4646 | 0.46 | 10 | 3.6378 |
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- | 2.3471 | 0.92 | 20 | 3.7147 |
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- | 2.0415 | 1.38 | 30 | 3.5732 |
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- | 1.7322 | 1.84 | 40 | 3.6297 |
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- | 1.5186 | 2.3 | 50 | 3.7015 |
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- | 1.3975 | 2.76 | 60 | 3.7349 |
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- | 1.3371 | 3.22 | 70 | 3.6949 |
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- | 1.1967 | 3.68 | 80 | 3.7225 |
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- | 1.1798 | 4.14 | 90 | 3.8054 |
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- | 1.0775 | 4.6 | 100 | 3.7412 |
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  ### Framework versions
@@ -67,4 +65,4 @@ The following hyperparameters were used during training:
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  - Transformers 4.39.3
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  - Pytorch 2.1.2+cpu
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  - Datasets 2.18.0
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- - Tokenizers 0.15.2
 
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  model-index:
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  - name: QA_FineTuned_AraElectra
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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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  This model is a fine-tuned version of [aubmindlab/araelectra-base-generator](https://huggingface.co/aubmindlab/araelectra-base-generator) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 3.3206
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 5.5622 | 0.46 | 10 | 4.5956 |
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+ | 4.4125 | 0.92 | 20 | 3.9095 |
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+ | 3.9487 | 1.38 | 30 | 3.7421 |
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+ | 3.7229 | 1.84 | 40 | 3.5886 |
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+ | 3.3851 | 2.3 | 50 | 3.5666 |
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+ | 3.1301 | 2.76 | 60 | 3.4475 |
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+ | 2.9588 | 3.22 | 70 | 3.4111 |
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+ | 2.7213 | 3.68 | 80 | 3.3688 |
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+ | 2.5743 | 4.14 | 90 | 3.3205 |
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+ | 2.3191 | 4.6 | 100 | 3.3206 |
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  ### Framework versions
 
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  - Transformers 4.39.3
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  - Pytorch 2.1.2+cpu
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  - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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