End of training
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README.md
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@@ -3,20 +3,20 @@ base_model: aubmindlab/bert-base-arabertv02
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tags:
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- generated_from_trainer
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model-index:
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- name:
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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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#
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This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Qwk: 0.0
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- Mse: 0.
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## Model description
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@@ -47,16 +47,16 @@ The following hyperparameters were used during training:
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| Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
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| No log | 1.0 | 2 | 0.
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| No log | 2.0 | 4 | 0.
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| No log | 3.0 | 6 | 0.
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| No log | 4.0 | 8 | 0.
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| No log | 5.0 | 10 | 0.
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| No log | 6.0 | 12 | 0.
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| No log | 7.0 | 14 | 0.
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| No log | 8.0 | 16 | 0.
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| No log | 9.0 | 18 | 0.
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| No log | 10.0 | 20 | 0.
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### Framework versions
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tags:
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- generated_from_trainer
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model-index:
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- name: arabert_baseline_relevance_task4_fold1
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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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# arabert_baseline_relevance_task4_fold1
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This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0752
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- Qwk: 0.0
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- Mse: 0.0752
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
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| No log | 1.0 | 2 | 0.4061 | 0.0 | 0.4061 |
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| No log | 2.0 | 4 | 0.1232 | 0.0 | 0.1232 |
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| No log | 3.0 | 6 | 0.1020 | 0.0 | 0.1020 |
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| No log | 4.0 | 8 | 0.1130 | 0.0400 | 0.1130 |
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| No log | 5.0 | 10 | 0.1198 | 0.0 | 0.1198 |
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| No log | 6.0 | 12 | 0.1295 | 0.0 | 0.1295 |
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| No log | 7.0 | 14 | 0.1092 | 0.0 | 0.1092 |
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| No log | 8.0 | 16 | 0.0901 | 0.0 | 0.0901 |
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| No log | 9.0 | 18 | 0.0786 | 0.0 | 0.0786 |
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| No log | 10.0 | 20 | 0.0752 | 0.0 | 0.0752 |
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### Framework versions
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