End of training

README.md

@@ -20,11 +20,11 @@ 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: 1.0454
-- Accuracy: 0.8167
-- F1: 0.8125
-- Precision: 0.8152
-- Recall: 0.8127
+- Loss: 1.2314
+- Accuracy: 0.8
+- F1: 0.7950
+- Precision: 0.8053
+- Recall: 0.8084
 
 ## Model description
 
@@ -57,21 +57,21 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| 1.3554        | 3.33  | 50   | 1.1341          | 0.5333   | 0.3913 | 0.5676    | 0.4930 |
-| 1.0538        | 6.67  | 100  | 1.1938          | 0.5833   | 0.5168 | 0.5381    | 0.5736 |
-| 0.3226        | 10.0  | 150  | 1.1243          | 0.6833   | 0.6412 | 0.7731    | 0.6614 |
-| 0.0674        | 13.33 | 200  | 0.8542          | 0.8417   | 0.8317 | 0.8442    | 0.8405 |
-| 0.0022        | 16.67 | 250  | 0.7832          | 0.8333   | 0.8252 | 0.8323    | 0.8277 |
-| 0.001         | 20.0  | 300  | 0.8204          | 0.8333   | 0.8265 | 0.8312    | 0.8307 |
-| 0.0005        | 23.33 | 350  | 0.8259          | 0.8583   | 0.8537 | 0.8534    | 0.8589 |
-| 0.0005        | 26.67 | 400  | 0.8121          | 0.825    | 0.8165 | 0.8230    | 0.8134 |
-| 0.0004        | 30.0  | 450  | 0.8673          | 0.8583   | 0.8537 | 0.8534    | 0.8589 |
-| 0.0003        | 33.33 | 500  | 0.8052          | 0.8583   | 0.8543 | 0.8561    | 0.8538 |
-| 0.0003        | 36.67 | 550  | 0.8324          | 0.8417   | 0.8363 | 0.8392    | 0.8372 |
-| 0.0003        | 40.0  | 600  | 0.8536          | 0.85     | 0.8445 | 0.8450    | 0.8480 |
-| 0.0003        | 43.33 | 650  | 0.8632          | 0.85     | 0.8445 | 0.8450    | 0.8480 |
-| 0.0003        | 46.67 | 700  | 0.8690          | 0.85     | 0.8445 | 0.8450    | 0.8480 |
-| 0.0003        | 50.0  | 750  | 0.8715          | 0.85     | 0.8445 | 0.8450    | 0.8480 |
+| 1.3619        | 3.33  | 50   | 1.1190          | 0.5083   | 0.3510 | 0.3025    | 0.4690 |
+| 1.0373        | 6.67  | 100  | 0.6955          | 0.75     | 0.7245 | 0.7800    | 0.7244 |
+| 0.4461        | 10.0  | 150  | 0.8629          | 0.6833   | 0.6799 | 0.7370    | 0.6928 |
+| 0.0585        | 13.33 | 200  | 1.3333          | 0.7333   | 0.7132 | 0.7888    | 0.7391 |
+| 0.002         | 16.67 | 250  | 1.2095          | 0.775    | 0.7688 | 0.8003    | 0.7797 |
+| 0.0053        | 20.0  | 300  | 1.0637          | 0.7833   | 0.7728 | 0.7803    | 0.7773 |
+| 0.0006        | 23.33 | 350  | 1.0393          | 0.7833   | 0.7731 | 0.7866    | 0.7804 |
+| 0.0004        | 26.67 | 400  | 1.0850          | 0.7917   | 0.7825 | 0.8004    | 0.7913 |
+| 0.0004        | 30.0  | 450  | 1.0655          | 0.7833   | 0.7731 | 0.7866    | 0.7804 |
+| 0.0003        | 33.33 | 500  | 1.0775          | 0.7833   | 0.7731 | 0.7866    | 0.7804 |
+| 0.0003        | 36.67 | 550  | 1.0626          | 0.7833   | 0.7731 | 0.7866    | 0.7804 |
+| 0.0003        | 40.0  | 600  | 1.0474          | 0.775    | 0.7636 | 0.7736    | 0.7695 |
+| 0.0003        | 43.33 | 650  | 1.0526          | 0.775    | 0.7636 | 0.7736    | 0.7695 |
+| 0.0003        | 46.67 | 700  | 1.0609          | 0.775    | 0.7636 | 0.7736    | 0.7695 |
+| 0.0003        | 50.0  | 750  | 1.0607          | 0.775    | 0.7636 | 0.7736    | 0.7695 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ac6bdef80514140bfb019a5b463d5b0415a87873392890cc23406aebbb9fe2cb
+oid sha256:bc8535eeaacf18553c373d8bff79f42340f79838f63f343c4278f78ac0e5ed4a
 size 437964800