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sentence_classfication_test

Text Classification
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distilbert
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text-embeddings-inference
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update model card README.md

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  ---
 
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  tags:
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  - generated_from_trainer
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  metrics:
@@ -13,10 +14,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # sentence_classfication_test
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- This model is a fine-tuned version of [airesearch/wangchanberta-base-att-spm-uncased](https://huggingface.co/airesearch/wangchanberta-base-att-spm-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4453
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- - Accuracy: 0.8
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  ## Model description
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@@ -41,27 +42,22 @@ 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: 15
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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 | 10 | 0.5120 | 0.675 |
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- | No log | 2.0 | 20 | 0.4401 | 0.8 |
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- | No log | 3.0 | 30 | 0.3661 | 0.85 |
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- | No log | 4.0 | 40 | 0.3247 | 0.875 |
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- | No log | 5.0 | 50 | 0.3309 | 0.875 |
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- | No log | 6.0 | 60 | 0.3349 | 0.875 |
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- | No log | 7.0 | 70 | 0.3379 | 0.85 |
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- | No log | 8.0 | 80 | 0.3526 | 0.85 |
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- | No log | 9.0 | 90 | 0.3590 | 0.825 |
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- | No log | 10.0 | 100 | 0.3783 | 0.825 |
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- | No log | 11.0 | 110 | 0.4326 | 0.8 |
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- | No log | 12.0 | 120 | 0.4416 | 0.8 |
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- | No log | 13.0 | 130 | 0.4488 | 0.8 |
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- | No log | 14.0 | 140 | 0.4437 | 0.8 |
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- | No log | 15.0 | 150 | 0.4453 | 0.8 |
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  ### Framework versions
 
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  ---
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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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  # sentence_classfication_test
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+ This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3453
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+ - Accuracy: 0.9
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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: 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 | 10 | 0.6095 | 0.85 |
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+ | No log | 2.0 | 20 | 0.4562 | 0.825 |
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+ | No log | 3.0 | 30 | 0.3424 | 0.875 |
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+ | No log | 4.0 | 40 | 0.3830 | 0.875 |
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+ | No log | 5.0 | 50 | 0.3277 | 0.875 |
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+ | No log | 6.0 | 60 | 0.3189 | 0.875 |
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+ | No log | 7.0 | 70 | 0.4033 | 0.875 |
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+ | No log | 8.0 | 80 | 0.3355 | 0.9 |
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+ | No log | 9.0 | 90 | 0.3572 | 0.875 |
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+ | No log | 10.0 | 100 | 0.3453 | 0.9 |
 
 
 
 
 
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  ### Framework versions