End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9559838895281934
+      value: 0.9608520437535981
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ 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 generator dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1726
-- Accuracy: 0.9560
+- Loss: 0.1466
+- Accuracy: 0.9609
 
 ## Model description
 
@@ -53,8 +53,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 32
-- eval_batch_size: 32
+- train_batch_size: 16
+- eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -64,8 +64,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 124  | 0.2209          | 0.9413   |
-| No log        | 2.0   | 248  | 0.1726          | 0.9560   |
+| No log        | 1.0   | 248  | 0.1825          | 0.9496   |
+| No log        | 2.0   | 496  | 0.1466          | 0.9609   |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:520522d7ed3c4ff6c6ca576cb78fb8fd3d0430109c7b4402797d73de87d897ba
 size 442563374