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/distilbert-base-multilingual-cased](https://huggingface.co/distilbert/distilbert-base-multilingual-cased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1929
-- Precision: 0.7319
-- Recall: 0.7531
-- F1: 0.7423
-- Accuracy: 0.9587
+- Loss: 0.1777
+- Precision: 0.7455
+- Recall: 0.7780
+- F1: 0.7614
+- Accuracy: 0.9616
 
 ## Model description
 
@@ -55,16 +55,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 282  | 0.2132          | 0.5566    | 0.6224 | 0.5877 | 0.9403   |
-| 0.28          | 2.0   | 564  | 0.1715          | 0.6793    | 0.7075 | 0.6931 | 0.9533   |
-| 0.28          | 3.0   | 846  | 0.1507          | 0.7101    | 0.7469 | 0.7280 | 0.9586   |
-| 0.0882        | 4.0   | 1128 | 0.1662          | 0.7368    | 0.7261 | 0.7315 | 0.9568   |
-| 0.0882        | 5.0   | 1410 | 0.1718          | 0.7387    | 0.7448 | 0.7417 | 0.9579   |
-| 0.0386        | 6.0   | 1692 | 0.1823          | 0.7078    | 0.7490 | 0.7278 | 0.9576   |
-| 0.0386        | 7.0   | 1974 | 0.1969          | 0.7206    | 0.7490 | 0.7345 | 0.9574   |
-| 0.0187        | 8.0   | 2256 | 0.1816          | 0.7349    | 0.7593 | 0.7469 | 0.9589   |
-| 0.0101        | 9.0   | 2538 | 0.1928          | 0.7363    | 0.7531 | 0.7446 | 0.9584   |
-| 0.0101        | 10.0  | 2820 | 0.1929          | 0.7319    | 0.7531 | 0.7423 | 0.9587   |
+| No log        | 1.0   | 282  | 0.2251          | 0.5886    | 0.6203 | 0.6040 | 0.9414   |
+| 0.2833        | 2.0   | 564  | 0.1686          | 0.6566    | 0.6784 | 0.6673 | 0.9505   |
+| 0.2833        | 3.0   | 846  | 0.1603          | 0.6795    | 0.7303 | 0.7040 | 0.9565   |
+| 0.0914        | 4.0   | 1128 | 0.1642          | 0.7310    | 0.7386 | 0.7348 | 0.9582   |
+| 0.0914        | 5.0   | 1410 | 0.1545          | 0.7385    | 0.7676 | 0.7528 | 0.9595   |
+| 0.0408        | 6.0   | 1692 | 0.1782          | 0.7179    | 0.7552 | 0.7361 | 0.9565   |
+| 0.0408        | 7.0   | 1974 | 0.1840          | 0.7324    | 0.7552 | 0.7436 | 0.9599   |
+| 0.0193        | 8.0   | 2256 | 0.1839          | 0.7324    | 0.7552 | 0.7436 | 0.9590   |
+| 0.0107        | 9.0   | 2538 | 0.1788          | 0.7571    | 0.7697 | 0.7634 | 0.9624   |
+| 0.0107        | 10.0  | 2820 | 0.1777          | 0.7455    | 0.7780 | 0.7614 | 0.9616   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2e526d3f18ace96b5d76183749294c73bf8856fc19bb0c415f14051c11008bed
+oid sha256:bf69bf680692d244c0162fc749f76e741143b392f092db968ce9206dc821438c
 size 539013268

runs/Oct06_22-38-26_288660498d63/events.out.tfevents.1728254328.288660498d63.34.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9245162331f22e6dc195d4d9ac404e32c11e58aac2ccd5987f32769ed5cfb2e0
-size 10462
+oid sha256:34b7bbd294e68ade68eda5b5238414cce3cbeb1dac7e1bdcd1a84274b01d3360
+size 11760

runs/Oct06_22-38-26_288660498d63/events.out.tfevents.1728254729.288660498d63.34.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:12774ef3a4dc648c4594ffc5a13cfe3d96003f6a0b4a1fa9ee7764d64da06479
+size 560