djsull/binary_every_exp

README.md

@@ -19,11 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [klue/roberta-small](https://huggingface.co/klue/roberta-small) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0033
-- Precision: 1.0
+- Loss: 0.1884
+- Precision: 0.8261
 - Recall: 1.0
-- F1: 1.0
-- Accuracy: 1.0
+- F1: 0.9048
+- Accuracy: 0.92
 
 ## Model description
 
@@ -44,21 +44,18 @@ More information needed
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
 - train_batch_size: 64
-- eval_batch_size: 64
+- eval_batch_size: 32
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 5
+- num_epochs: 2
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
-| No log        | 1.0   | 9    | 0.0378          | 1.0       | 1.0    | 1.0 | 1.0      |
-| No log        | 2.0   | 18   | 0.0087          | 1.0       | 1.0    | 1.0 | 1.0      |
-| No log        | 3.0   | 27   | 0.0052          | 1.0       | 1.0    | 1.0 | 1.0      |
-| No log        | 4.0   | 36   | 0.0036          | 1.0       | 1.0    | 1.0 | 1.0      |
-| No log        | 5.0   | 45   | 0.0033          | 1.0       | 1.0    | 1.0 | 1.0      |
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 10   | 0.2445          | 0.8261    | 1.0    | 0.9048 | 0.92     |
+| No log        | 2.0   | 20   | 0.1884          | 0.8261    | 1.0    | 0.9048 | 0.92     |
 
 
 ### Framework versions

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