End of training

README.md

@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [juniorjukeko/emotion-classificationV3](https://huggingface.co/juniorjukeko/emotion-classificationV3) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.8945
-- Accuracy: 0.5687
+- Loss: 2.0695
+- Accuracy: 0.5563
 
 ## Model description
 
@@ -45,15 +45,22 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 3
+- num_epochs: 10
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 5    | 1.9717          | 0.55     |
-| 0.0097        | 2.0   | 10   | 1.9848          | 0.5437   |
-| 0.0097        | 3.0   | 15   | 2.1587          | 0.5      |
+| Training Loss | Epoch | Step | Accuracy | Validation Loss |
+|:-------------:|:-----:|:----:|:--------:|:---------------:|
+| No log        | 1.0   | 5    | 0.55     | 1.9717          |
+| 0.0109        | 2.0   | 10   | 2.0396   | 0.525           |
+| 0.0109        | 3.0   | 15   | 2.2681   | 0.5062          |
+| 0.0123        | 4.0   | 20   | 2.1386   | 0.5062          |
+| 0.0123        | 5.0   | 25   | 2.6115   | 0.4313          |
+| 0.009         | 6.0   | 30   | 2.4700   | 0.5             |
+| 0.009         | 7.0   | 35   | 2.3460   | 0.5             |
+| 0.0091        | 8.0   | 40   | 2.5743   | 0.4688          |
+| 0.0091        | 9.0   | 45   | 2.0986   | 0.5188          |
+| 0.0395        | 10.0  | 50   | 2.2360   | 0.5062          |
 
 
 ### Framework versions

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:cbf174ca3421eec3b81e08c19889d96f47893d135e4cba1ec3e38df3a4f2888e
+oid sha256:d8be43ddea294794fc2f9e7887f3f8953eeeab61f8fd9fef6caa3cf4f7ee03f2
 size 4091