End of training

README.md

@@ -45,7 +45,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the audiofolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6681
+- Loss: 0.6717
 - Accuracy: 0.8370
 - F1: 0.7627
 - Precision: 0.7005
@@ -83,9 +83,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
 |:-------------:|:------:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| No log        | 0.8696 | 5    | 0.6749          | 0.8370   | 0.7627 | 0.7005    | 0.8370 |
-| No log        | 1.9130 | 11   | 0.6683          | 0.8370   | 0.7627 | 0.7005    | 0.8370 |
-| No log        | 2.6087 | 15   | 0.6681          | 0.8370   | 0.7627 | 0.7005    | 0.8370 |
+| No log        | 0.8696 | 5    | 1.1779          | 0.7391   | 0.7324 | 0.7336    | 0.7391 |
+| No log        | 1.9130 | 11   | 0.6791          | 0.8370   | 0.7627 | 0.7005    | 0.8370 |
+| No log        | 2.6087 | 15   | 0.6717          | 0.8370   | 0.7627 | 0.7005    | 0.8370 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7c1b4c8eb0c2e95c8feca150d80cb8fe121226243f7cac60fa15fc756ca55a69
+oid sha256:3991687d66fd615fd889cdaa1b1c033aef594476edac9b582bd152ff15eb3fa1
 size 94766588

runs/Sep01_23-34-28_ubumarcos/events.out.tfevents.1725226478.ubumarcos

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:46ce846de39d0ca681538e233fa90b46ba2e18f86a38b72146afab9fc4e8cca9
+size 7663

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:34812ed498dbbd7706d1ed28a11e55eca05983add93515957e2c589cc660d72b
+oid sha256:8f3efe7849b5f3f195fadd7d190112e124ade994cbe805c8a115454af3f0fc02
 size 5240