SiddharthaM
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update model card README.md
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README.md
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---
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license:
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tags:
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- generated_from_trainer
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metrics:
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# mdeberta-targin-final
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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- Precision: 0.
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- Recall: 0.
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- F1: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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| No log | 1.0 | 296 | 0.
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### Framework versions
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license: apache-2.0
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tags:
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- generated_from_trainer
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metrics:
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# mdeberta-targin-final
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This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5637
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- Accuracy: 0.7091
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- Precision: 0.6841
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- Recall: 0.6557
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- F1: 0.6617
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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| No log | 1.0 | 296 | 0.6001 | 0.6435 | 0.6344 | 0.5087 | 0.4156 |
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| 0.6011 | 2.0 | 592 | 0.5633 | 0.7091 | 0.6879 | 0.6464 | 0.6521 |
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| 0.6011 | 3.0 | 888 | 0.5501 | 0.7234 | 0.6991 | 0.6841 | 0.6892 |
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| 0.5401 | 4.0 | 1184 | 0.5558 | 0.7082 | 0.6818 | 0.6595 | 0.6652 |
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| 0.5401 | 5.0 | 1480 | 0.5637 | 0.7091 | 0.6841 | 0.6557 | 0.6617 |
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### Framework versions
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