End of training

README.md

@@ -19,9 +19,9 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5600
-- Accuracy: 0.706
-- F1: 0.5116
+- Loss: 0.6501
+- Accuracy: 0.624
+- F1: 0.0
 
 ## Model description
 
@@ -46,17 +46,14 @@ The following hyperparameters were used during training:
 - 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 | Accuracy | F1     |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 282  | 0.6073          | 0.674    | 0.2819 |
-| 0.6101        | 2.0   | 564  | 0.5866          | 0.682    | 0.4218 |
-| 0.6101        | 3.0   | 846  | 0.5707          | 0.696    | 0.4830 |
-| 0.5745        | 4.0   | 1128 | 0.5626          | 0.704    | 0.5067 |
-| 0.5745        | 5.0   | 1410 | 0.5600          | 0.706    | 0.5116 |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1  |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---:|
+| No log        | 1.0   | 282  | 0.6501          | 0.624    | 0.0 |
+| 0.6505        | 2.0   | 564  | 0.6427          | 0.624    | 0.0 |
 
 
 ### Framework versions

adapter_model.safetensors

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 size 3000848

runs/May03_02-39-09_dfdf0677f496/events.out.tfevents.1714706342.dfdf0677f496.21915.1

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