End of training

README.md

@@ -5,24 +5,9 @@ tags:
 - generated_from_trainer
 datasets:
 - audiofolder
-metrics:
-- accuracy
 model-index:
 - name: distilhubert-finetuned-cry-detector
-  results:
-  - task:
-      name: Audio Classification
-      type: audio-classification
-    dataset:
-      name: audiofolder
-      type: audiofolder
-      config: default
-      split: train
-      args: default
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.9830508474576272
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,9 +16,6 @@ should probably proofread and complete it, then remove this comment. -->
 # distilhubert-finetuned-cry-detector
 
 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: 0.0703
-- Accuracy: 0.9831
 
 ## Model description
 
@@ -60,22 +42,13 @@ The following hyperparameters were used during training:
 - total_train_batch_size: 64
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: cosine
-- num_epochs: 10
+- num_epochs: 1
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 11   | 0.1909          | 0.9435   |
-| No log        | 2.0   | 22   | 0.1998          | 0.9322   |
-| No log        | 3.0   | 33   | 0.0904          | 0.9718   |
-| No log        | 4.0   | 44   | 0.1063          | 0.9661   |
-| No log        | 5.0   | 55   | 0.0770          | 0.9774   |
-| No log        | 6.0   | 66   | 0.0832          | 0.9774   |
-| No log        | 7.0   | 77   | 0.0658          | 0.9774   |
-| No log        | 8.0   | 88   | 0.0681          | 0.9831   |
-| No log        | 9.0   | 99   | 0.0701          | 0.9831   |
-| No log        | 10.0  | 110  | 0.0703          | 0.9831   |
+| No log        | 1.0   | 11   | 0.3065          | 0.9605   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a9ee42b733f9fb206c8e20e93b0531ada24c562a3c8b950222f57ae0680c6e11
+oid sha256:52a34c9530859ddc791792e991fa992c7931313aff4c9d9ccad9dd8198091ee2
 size 94763496

runs/Aug08_19-19-47_DesMar/events.out.tfevents.1723137588.DesMar.16104.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:28376691ece89a19e2cb693972c951d71c751431bdec4632da147536c4123bc8
+size 6092

runs/Aug08_19-23-21_DesMar/events.out.tfevents.1723137801.DesMar.9164.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:da8bc9726d3abfdb0ab129d00007f1debeff41135c45cd96eaffa010ec765ca5
+size 6439

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:28afa9e5b6615e1654c4c63382dc4eff69c1952ad0ba51c539b658de2717287e
+oid sha256:620e8fb94679ada26b9e17122c02566511c3f72b89b1fc9d7219a28beb84f33d
 size 5176