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 [camembert-base](https://huggingface.co/camembert-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3660
-- Precision: 0.0
-- Recall: 0.0
-- F1: 0.0
-- Accuracy: 0.8739
+- Loss: 0.2378
+- Precision: 0.7015
+- Recall: 0.6115
+- F1: 0.6534
+- Accuracy: 0.9182
 
 ## Model description
 
@@ -50,14 +50,17 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Use OptimizerNames.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: 2
+- num_epochs: 5
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
-| No log        | 1.0   | 24   | 0.3795          | 0.0       | 0.0    | 0.0 | 0.8739   |
-| No log        | 2.0   | 48   | 0.3660          | 0.0       | 0.0    | 0.0 | 0.8739   |
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 24   | 0.3755          | 0.0       | 0.0    | 0.0    | 0.8739   |
+| No log        | 2.0   | 48   | 0.3258          | 0.0       | 0.0    | 0.0    | 0.8739   |
+| No log        | 3.0   | 72   | 0.2695          | 0.0       | 0.0    | 0.0    | 0.8739   |
+| No log        | 4.0   | 96   | 0.2439          | 0.6749    | 0.6059 | 0.6386 | 0.9135   |
+| No log        | 5.0   | 120  | 0.2378          | 0.7015    | 0.6115 | 0.6534 | 0.9182   |
 
 
 ### Framework versions

runs/Jan28_09-17-19_4431f1c5681e/events.out.tfevents.1738055841.4431f1c5681e.434.2

@@ -1,3 +1,3 @@
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+size 7852