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: 0.96045197740113
+  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: 0.0929
-- Accuracy: 0.9605
 
 ## Model description
 
@@ -60,17 +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: 5
+- num_epochs: 1
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 11   | 0.1843          | 0.9322   |
-| No log        | 2.0   | 22   | 0.1730          | 0.9379   |
-| No log        | 3.0   | 33   | 0.1143          | 0.9492   |
-| No log        | 4.0   | 44   | 0.0885          | 0.9661   |
-| No log        | 5.0   | 55   | 0.0929          | 0.9605   |
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| No log        | 0.9888 | 11   | 1.6653          | 0.5618   |
 
 
 ### Framework versions

config.json

@@ -49,14 +49,28 @@
   "hidden_dropout": 0.1,
   "hidden_size": 768,
   "id2label": {
-    "0": "cry",
-    "1": "no_cry"
+    "0": "Baby laugh",
+    "1": "Crying baby",
+    "2": "Noise",
+    "3": "Silence",
+    "4": "belly_pain",
+    "5": "burping",
+    "6": "discomfort",
+    "7": "hungry",
+    "8": "tired"
   },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
   "label2id": {
-    "cry": "0",
-    "no_cry": "1"
+    "Baby laugh": "0",
+    "Crying baby": "1",
+    "Noise": "2",
+    "Silence": "3",
+    "belly_pain": "4",
+    "burping": "5",
+    "discomfort": "6",
+    "hungry": "7",
+    "tired": "8"
   },
   "layer_norm_eps": 1e-05,
   "layerdrop": 0.0,

model.safetensors

@@ -1,3 +1,3 @@
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+size 94770700

runs/Aug10_12-17-23_DesMar/events.out.tfevents.1723285043.DesMar.10368.0

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+size 6815

training_args.bin

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 size 5240