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somukandula
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maskara-tiny-v2

Token Classification
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bert
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End of training

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  1. README.md +10 -10
  2. model.safetensors +1 -1
README.md CHANGED
@@ -21,9 +21,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [somukandula/maskara-tiny](https://huggingface.co/somukandula/maskara-tiny) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 1.1264
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- - Precision: 0.0626
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- - Recall: 0.2521
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- - F1: 0.1003
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  ## Model description
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@@ -55,13 +55,13 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
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  |:-------------:|:------:|:----:|:---------------:|:---------:|:------:|:------:|
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- | 1.2385 | 0.0936 | 1000 | 1.4657 | 0.0467 | 0.1926 | 0.0751 |
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- | 1.1062 | 0.1873 | 2000 | 1.2916 | 0.0577 | 0.2298 | 0.0922 |
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- | 1.0024 | 0.2809 | 3000 | 1.2243 | 0.0605 | 0.2384 | 0.0965 |
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- | 1.0006 | 0.3745 | 4000 | 1.1892 | 0.0603 | 0.2437 | 0.0966 |
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- | 0.962 | 0.4682 | 5000 | 1.1586 | 0.0640 | 0.2510 | 0.1020 |
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- | 0.9539 | 0.5618 | 6000 | 1.1308 | 0.0625 | 0.2435 | 0.0994 |
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- | 0.9416 | 0.6554 | 7000 | 1.1264 | 0.0626 | 0.2521 | 0.1003 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [somukandula/maskara-tiny](https://huggingface.co/somukandula/maskara-tiny) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 1.1264
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+ - Precision: 0.0627
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+ - Recall: 0.2523
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+ - F1: 0.1004
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
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  |:-------------:|:------:|:----:|:---------------:|:---------:|:------:|:------:|
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+ | 1.2386 | 0.0936 | 1000 | 1.4658 | 0.0466 | 0.1926 | 0.0751 |
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+ | 1.1062 | 0.1873 | 2000 | 1.2917 | 0.0576 | 0.2296 | 0.0921 |
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+ | 1.0024 | 0.2809 | 3000 | 1.2243 | 0.0605 | 0.2386 | 0.0966 |
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+ | 1.0004 | 0.3745 | 4000 | 1.1891 | 0.0600 | 0.2425 | 0.0961 |
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+ | 0.962 | 0.4682 | 5000 | 1.1587 | 0.0641 | 0.2515 | 0.1022 |
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+ | 0.9539 | 0.5618 | 6000 | 1.1307 | 0.0627 | 0.2444 | 0.0998 |
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+ | 0.9417 | 0.6554 | 7000 | 1.1264 | 0.0627 | 0.2523 | 0.1004 |
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  ### Framework versions
model.safetensors CHANGED
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