End of training

README.md

@@ -18,8 +18,8 @@ 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: 0.0000
-- F1: 0.0221
+- Loss: 0.8334
+- F1: 0.6221
 
 ## Model description
 
@@ -50,9 +50,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.0           | 1.0   | 1581 | 0.0000          | 0.0221 |
-| 0.0027        | 2.0   | 3162 | 0.0000          | 0.0221 |
-| 0.0022        | 3.0   | 4743 | 0.0000          | 0.0221 |
+| 0.6289        | 1.0   | 1581 | 0.6139          | 0.6443 |
+| 0.5648        | 2.0   | 3162 | 0.6683          | 0.6474 |
+| 0.4054        | 3.0   | 4743 | 0.8334          | 0.6221 |
 
 
 ### Framework versions

model.safetensors

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 size 267832560

training_args.bin

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 size 5240