End of training

README.md

@@ -21,7 +21,7 @@ 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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1712
+- Loss: 0.1621
 - Precision: 0.0
 - Recall: 0.0
 - F1: 0.0
@@ -50,22 +50,14 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 10
+- num_epochs: 2
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
-| No log        | 1.0   | 2    | 0.3554          | 0.2       | 0.0667 | 0.1 | 0.94     |
-| No log        | 2.0   | 4    | 0.2160          | 0.0       | 0.0    | 0.0 | 0.95     |
-| No log        | 3.0   | 6    | 0.1906          | 0.0       | 0.0    | 0.0 | 0.95     |
-| No log        | 4.0   | 8    | 0.1888          | 0.0       | 0.0    | 0.0 | 0.95     |
-| No log        | 5.0   | 10   | 0.1854          | 0.0       | 0.0    | 0.0 | 0.95     |
-| No log        | 6.0   | 12   | 0.1815          | 0.0       | 0.0    | 0.0 | 0.95     |
-| No log        | 7.0   | 14   | 0.1772          | 0.0       | 0.0    | 0.0 | 0.95     |
-| No log        | 8.0   | 16   | 0.1738          | 0.0       | 0.0    | 0.0 | 0.95     |
-| No log        | 9.0   | 18   | 0.1719          | 0.0       | 0.0    | 0.0 | 0.95     |
-| No log        | 10.0  | 20   | 0.1712          | 0.0       | 0.0    | 0.0 | 0.95     |
+| No log        | 1.0   | 2    | 0.1655          | 0.0       | 0.0    | 0.0 | 0.95     |
+| No log        | 2.0   | 4    | 0.1621          | 0.0       | 0.0    | 0.0 | 0.95     |
 
 
 ### Framework versions

model.safetensors

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runs/Jan16_10-59-49_f35fb2804064/events.out.tfevents.1737025190.f35fb2804064.206.4

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