End of training

README.md

@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert/distilroberta-base](https://huggingface.co/distilbert/distilroberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2024
-- Accuracy: 0.9644
-- Precision: 0.9653
-- Recall: 0.9644
-- F1: 0.9646
+- Loss: 0.1133
+- Accuracy: 0.9689
+- Precision: 0.9690
+- Recall: 0.9689
+- F1: 0.9689
 
 ## Model description
 
@@ -56,10 +56,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
-| No log        | 1.0   | 284  | 0.0928          | 0.9733   | 0.9733    | 0.9733 | 0.9733 |
-| 0.147         | 2.0   | 568  | 0.2124          | 0.9511   | 0.9534    | 0.9511 | 0.9513 |
-| 0.147         | 3.0   | 852  | 0.1151          | 0.9733   | 0.9733    | 0.9733 | 0.9733 |
-| 0.0258        | 4.0   | 1136 | 0.2024          | 0.9644   | 0.9653    | 0.9644 | 0.9646 |
+| No log        | 1.0   | 284  | 0.2076          | 0.9511   | 0.9524    | 0.9511 | 0.9508 |
+| 0.1542        | 2.0   | 568  | 0.1649          | 0.9556   | 0.9559    | 0.9556 | 0.9554 |
+| 0.1542        | 3.0   | 852  | 0.0877          | 0.9778   | 0.9782    | 0.9778 | 0.9778 |
+| 0.0183        | 4.0   | 1136 | 0.1133          | 0.9689   | 0.9690    | 0.9689 | 0.9689 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:9350319b7b117cc82dbe1ba17a07e6a1f44b783ee25088b97c7dae3bbaac3e68
 size 328492280