End of training

README.md

@@ -3,26 +3,11 @@ license: mit
 base_model: camembert-base
 tags:
 - generated_from_trainer
-datasets:
-- generator
 metrics:
 - accuracy
 model-index:
 - name: VogagenRelation
-  results:
-  - task:
-      name: Text Classification
-      type: text-classification
-    dataset:
-      name: generator
-      type: generator
-      config: default
-      split: train
-      args: default
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.9967121901871523
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # VogagenRelation
 
-This model is a fine-tuned version of [camembert-base](https://huggingface.co/camembert-base) on the generator dataset.
+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: 0.0176
-- Accuracy: 0.9967
+- Loss: 0.3738
+- Accuracy: 0.8626
 
 ## Model description
 
@@ -64,8 +49,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.2811        | 1.0   | 742  | 0.0404          | 0.9917   |
-| 0.1249        | 2.0   | 1484 | 0.0176          | 0.9967   |
+| No log        | 1.0   | 241  | 0.4340          | 0.8337   |
+| No log        | 2.0   | 482  | 0.3738          | 0.8626   |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6104f0744455173f5be8984784999c8d2cc4f6a8c4c1b87bc32bb5c4eb55272a
+oid sha256:443d7d1a3a2c7137d779ad5c99f402d5992cb15f8f36b0faceac5bb55a1c2476
 size 442563374