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da-sentiment

Text Classification
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bert
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text-embeddings-inference
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mirfan899 commited on
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update model card README.md

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  1. README.md +8 -13
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@@ -15,8 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model was trained from scratch on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2350
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- - Accuracy: 0.9308
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  ## Model description
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@@ -41,22 +41,17 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 67 | 0.1916 | 0.9271 |
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- | 0.2043 | 2.0 | 134 | 0.1966 | 0.9290 |
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- | 0.2043 | 3.0 | 201 | 0.2103 | 0.9252 |
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- | 0.1106 | 4.0 | 268 | 0.2124 | 0.9308 |
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- | 0.1106 | 5.0 | 335 | 0.2114 | 0.9290 |
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- | 0.0694 | 6.0 | 402 | 0.2184 | 0.9271 |
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- | 0.0694 | 7.0 | 469 | 0.2300 | 0.9327 |
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- | 0.0391 | 8.0 | 536 | 0.2332 | 0.9252 |
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- | 0.0391 | 9.0 | 603 | 0.2351 | 0.9308 |
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- | 0.0392 | 10.0 | 670 | 0.2350 | 0.9308 |
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  ### Framework versions
 
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  This model was trained from scratch on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5520
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+ - Accuracy: 0.8991
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 67 | 0.5258 | 0.8935 |
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+ | 0.0073 | 2.0 | 134 | 0.5262 | 0.8972 |
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+ | 0.0073 | 3.0 | 201 | 0.5408 | 0.8972 |
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+ | 0.0053 | 4.0 | 268 | 0.5494 | 0.8991 |
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+ | 0.0053 | 5.0 | 335 | 0.5520 | 0.8991 |
 
 
 
 
 
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  ### Framework versions