Hemg
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EMOTION-AI

Text Classification

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Hemg commited on Jan 3

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@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.1954
-- Accuracy: 0.4259
 ## Model description
@@ -38,7 +38,7 @@ More information needed
 ### Training hyperparameters
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
 - train_batch_size: 32
 - eval_batch_size: 32
 - seed: 42
@@ -52,8 +52,8 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| No log        | 0.9982 | 271  | 2.3231          | 0.3937   |
-| 2.4386        | 1.9963 | 542  | 2.1954          | 0.4259   |
 ### Framework versions

 This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Loss: 2.7185
+- Accuracy: 0.2953
 ## Model description
 ### Training hyperparameters
 The following hyperparameters were used during training:
+- learning_rate: 0.0003
 - train_batch_size: 32
 - eval_batch_size: 32
 - seed: 42
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
+| No log        | 0.9982 | 271  | 2.7301          | 0.2953   |
+| 2.7229        | 1.9963 | 542  | 2.7185          | 0.2953   |
 ### Framework versions