End of training

README.md

@@ -20,7 +20,7 @@ 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: 0.0025
+- Loss: 0.0305
 - Precision: 1.0
 - Recall: 1.0
 - F1: 1.0
@@ -44,8 +44,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 8
-- eval_batch_size: 8
+- train_batch_size: 4
+- eval_batch_size: 4
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -55,16 +55,15 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 5    | 0.2997          | 1.0       | 0.75   | 0.8571 | 0.92     |
-| No log        | 2.0   | 10   | 0.0758          | 1.0       | 1.0    | 1.0    | 1.0      |
-| No log        | 3.0   | 15   | 0.0187          | 1.0       | 1.0    | 1.0    | 1.0      |
-| No log        | 4.0   | 20   | 0.0153          | 1.0       | 1.0    | 1.0    | 1.0      |
-| No log        | 5.0   | 25   | 0.0115          | 1.0       | 1.0    | 1.0    | 1.0      |
-| No log        | 6.0   | 30   | 0.0071          | 1.0       | 1.0    | 1.0    | 1.0      |
-| No log        | 7.0   | 35   | 0.0043          | 1.0       | 1.0    | 1.0    | 1.0      |
-| No log        | 8.0   | 40   | 0.0031          | 1.0       | 1.0    | 1.0    | 1.0      |
-| No log        | 9.0   | 45   | 0.0026          | 1.0       | 1.0    | 1.0    | 1.0      |
-| No log        | 10.0  | 50   | 0.0025          | 1.0       | 1.0    | 1.0    | 1.0      |
+| No log        | 1.0   | 10   | 0.1838          | 1.0       | 1.0    | 1.0    | 1.0      |
+| No log        | 2.0   | 20   | 0.0773          | 0.8889    | 1.0    | 0.9412 | 0.96     |
+| No log        | 3.0   | 30   | 0.0742          | 0.8889    | 1.0    | 0.9412 | 0.96     |
+| No log        | 4.0   | 40   | 0.0445          | 1.0       | 1.0    | 1.0    | 1.0      |
+| No log        | 5.0   | 50   | 0.0500          | 0.875     | 0.875  | 0.875  | 0.96     |
+| No log        | 6.0   | 60   | 0.0305          | 1.0       | 1.0    | 1.0    | 1.0      |
+| No log        | 7.0   | 70   | 0.0308          | 1.0       | 1.0    | 1.0    | 1.0      |
+| No log        | 8.0   | 80   | 0.0323          | 0.875     | 0.875  | 0.875  | 0.96     |
+| No log        | 9.0   | 90   | 0.0354          | 0.875     | 0.875  | 0.875  | 0.96     |
 
 
 ### Framework versions

model.safetensors

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runs/Mar02_11-25-20_062f85bf131e/events.out.tfevents.1709378736.062f85bf131e.268.7

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runs/Mar02_11-25-20_062f85bf131e/events.out.tfevents.1709378930.062f85bf131e.268.8

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