joshiarn
/

my_test_model

Text Classification

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joshiarn commited on Apr 14, 2023

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update model card README.md

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@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0003
 - Accuracy: 1.0
 - F1: 1.0
@@ -38,7 +38,7 @@ More information needed
 ### Training hyperparameters
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
@@ -50,7 +50,7 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1  |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:---:|
-| 0.0254        | 1.0   | 500  | 0.0003          | 1.0      | 1.0 |
 ### Framework versions

 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.0011
 - Accuracy: 1.0
 - F1: 1.0
 ### Training hyperparameters
 The following hyperparameters were used during training:
+- learning_rate: 2e-05
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1  |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:---:|
+| 0.0396        | 1.0   | 500  | 0.0011          | 1.0      | 1.0 |
 ### Framework versions