Upload model with metrics

README.md

@@ -20,10 +20,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [xaviergillard/xlm-roberta-large-vieille-france](https://huggingface.co/xaviergillard/xlm-roberta-large-vieille-france) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0724
-- Precision: 0.7526
-- Recall: 0.8044
-- F1: 0.7776
+- Loss: 0.0960
+- Precision: 0.7626
+- Recall: 0.8061
+- F1: 0.7838
 
 ## Model description
 
@@ -54,21 +54,21 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
-| No log        | 1.0   | 54   | 0.0555          | 0.6035    | 0.6928 | 0.6451 |
-| No log        | 2.0   | 108  | 0.0457          | 0.7216    | 0.7963 | 0.7571 |
-| No log        | 3.0   | 162  | 0.0480          | 0.7147    | 0.8060 | 0.7576 |
-| No log        | 4.0   | 216  | 0.0462          | 0.7173    | 0.8100 | 0.7608 |
-| No log        | 5.0   | 270  | 0.0494          | 0.7536    | 0.8036 | 0.7778 |
-| No log        | 6.0   | 324  | 0.0580          | 0.7619    | 0.8044 | 0.7825 |
-| No log        | 7.0   | 378  | 0.0538          | 0.7487    | 0.7971 | 0.7721 |
-| No log        | 8.0   | 432  | 0.0597          | 0.7520    | 0.8165 | 0.7829 |
-| No log        | 9.0   | 486  | 0.0638          | 0.7345    | 0.8052 | 0.7682 |
-| 0.0888        | 10.0  | 540  | 0.0658          | 0.7579    | 0.8173 | 0.7865 |
-| 0.0888        | 11.0  | 594  | 0.0636          | 0.7506    | 0.8100 | 0.7792 |
-| 0.0888        | 12.0  | 648  | 0.0685          | 0.7496    | 0.8011 | 0.7745 |
-| 0.0888        | 13.0  | 702  | 0.0695          | 0.7507    | 0.8133 | 0.7808 |
-| 0.0888        | 14.0  | 756  | 0.0715          | 0.7511    | 0.8076 | 0.7783 |
-| 0.0888        | 15.0  | 810  | 0.0724          | 0.7526    | 0.8044 | 0.7776 |
+| No log        | 1.0   | 54   | 0.0609          | 0.7207    | 0.7966 | 0.7568 |
+| No log        | 2.0   | 108  | 0.0541          | 0.7140    | 0.8054 | 0.7570 |
+| No log        | 3.0   | 162  | 0.0585          | 0.7595    | 0.8083 | 0.7831 |
+| No log        | 4.0   | 216  | 0.0592          | 0.7384    | 0.8361 | 0.7842 |
+| No log        | 5.0   | 270  | 0.0684          | 0.7379    | 0.7827 | 0.7597 |
+| No log        | 6.0   | 324  | 0.0649          | 0.7568    | 0.8193 | 0.7868 |
+| No log        | 7.0   | 378  | 0.0668          | 0.7585    | 0.8113 | 0.7840 |
+| No log        | 8.0   | 432  | 0.0825          | 0.7094    | 0.8142 | 0.7582 |
+| No log        | 9.0   | 486  | 0.0767          | 0.7653    | 0.8252 | 0.7941 |
+| 0.0406        | 10.0  | 540  | 0.0841          | 0.7621    | 0.8040 | 0.7825 |
+| 0.0406        | 11.0  | 594  | 0.0850          | 0.7678    | 0.8032 | 0.7851 |
+| 0.0406        | 12.0  | 648  | 0.0880          | 0.7579    | 0.7944 | 0.7757 |
+| 0.0406        | 13.0  | 702  | 0.0914          | 0.7619    | 0.8054 | 0.7831 |
+| 0.0406        | 14.0  | 756  | 0.0950          | 0.7613    | 0.8003 | 0.7803 |
+| 0.0406        | 15.0  | 810  | 0.0960          | 0.7626    | 0.8061 | 0.7838 |
 
 
 ### Framework versions

metrics.json

@@ -1 +1 @@
-{"valid_loss": 0.10647770017385483, "valid_precision": 0.7132777421423989, "valid_recall": 0.7679558011049724, "valid_f1": 0.7396075823079481, "valid_runtime": 4.2994, "valid_samples_per_second": 44.657, "valid_steps_per_second": 1.396, "epoch": 15.0}
+{"valid_loss": 0.06808968633413315, "valid_precision": 0.8085106382978723, "valid_recall": 0.8283378746594006, "valid_f1": 0.8183041722745626, "valid_runtime": 4.3019, "valid_samples_per_second": 45.329, "valid_steps_per_second": 1.627, "epoch": 15.0}

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:985963319eb237c89caf977f01e1055e0dd5064757e240dd1e311fdb40480491
 size 2235444656