End of training

README.md

@@ -5,6 +5,9 @@ tags:
 - generated_from_trainer
 metrics:
 - accuracy
+- precision
+- recall
+- f1
 model-index:
 - name: spam
   results: []
@@ -17,8 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0087
-- Accuracy: 0.9985
+- Loss: 0.6940
+- Accuracy: 0.4954
+- Precision: 0.2454
+- Recall: 0.4954
+- F1: 0.3282
 
 ## Model description
 
@@ -37,9 +43,9 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- learning_rate: 2
+- train_batch_size: 32
+- eval_batch_size: 32
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -47,10 +53,10 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.0355        | 1.0   | 511  | 0.0124          | 0.9974   |
-| 0.0027        | 2.0   | 1022 | 0.0087          | 0.9985   |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| No log        | 1.0   | 256  | 0.7098          | 0.5046   | 0.2546    | 0.5046 | 0.3384 |
+| 13078.501     | 2.0   | 512  | 0.6940          | 0.4954   | 0.2454    | 0.4954 | 0.3282 |
 
 
 ### Framework versions