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README.md
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@@ -3,18 +3,18 @@ base_model: MarcBrun/ixambert-finetuned-squad-eu
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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 [MarcBrun/ixambert-finetuned-squad-eu](https://huggingface.co/MarcBrun/ixambert-finetuned-squad-eu) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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## Model description
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@@ -45,26 +45,26 @@ The following hyperparameters were used during training:
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| Training Loss | Epoch | Step | Validation Loss |
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| No log | 1.0 |
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| No log | 2.0 |
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| No log | 3.0 |
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| No log | 4.0 |
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| No log | 5.0 |
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| No log | 6.0 |
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| No log | 7.0 |
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| No log | 8.0 |
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| No log | 9.0 |
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| No log | 10.0 |
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| No log | 11.0 |
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| No log | 12.0 |
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| No log | 13.0 |
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| No log | 14.0 |
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| No log | 15.0 |
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### Framework versions
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- Transformers 4.37.2
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- Pytorch 2.3.0
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- Datasets 2.19.
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- Tokenizers 0.15.1
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tags:
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- generated_from_trainer
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model-index:
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- name: Neurixa_From_Ixambert-finetuned-squad-eu
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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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# Neurixa_From_Ixambert-finetuned-squad-eu
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This model is a fine-tuned version of [MarcBrun/ixambert-finetuned-squad-eu](https://huggingface.co/MarcBrun/ixambert-finetuned-squad-eu) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2018
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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 | 6 | 4.4728 |
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| No log | 2.0 | 12 | 3.3750 |
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| No log | 3.0 | 18 | 2.5127 |
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| No log | 4.0 | 24 | 1.8246 |
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| No log | 5.0 | 30 | 1.3675 |
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| No log | 6.0 | 36 | 0.9409 |
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| No log | 7.0 | 42 | 0.6393 |
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| No log | 8.0 | 48 | 0.4733 |
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| No log | 9.0 | 54 | 0.3724 |
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| No log | 10.0 | 60 | 0.3093 |
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| No log | 11.0 | 66 | 0.2644 |
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| No log | 12.0 | 72 | 0.2407 |
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| No log | 13.0 | 78 | 0.2161 |
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| No log | 14.0 | 84 | 0.2041 |
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| No log | 15.0 | 90 | 0.2018 |
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### Framework versions
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- Transformers 4.37.2
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- Pytorch 2.3.0
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- Datasets 2.19.2
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- Tokenizers 0.15.1
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