End of training

README.md

@@ -6,36 +6,9 @@ tags:
 - generated_from_trainer
 datasets:
 - audiofolder
-metrics:
-- accuracy
-- f1
-- precision
-- recall
 model-index:
 - name: distilhubert-finetuned-donateacry
-  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: 0.8130081300813008
-    - name: F1
-      type: f1
-      value: 0.7606844060819746
-    - name: Precision
-      type: precision
-      value: 0.7167376435669118
-    - name: Recall
-      type: recall
-      value: 0.8130081300813008
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -44,12 +17,6 @@ should probably proofread and complete it, then remove this comment. -->
 # distilhubert-finetuned-donateacry
 
 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: 0.7024
-- Accuracy: 0.8130
-- F1: 0.7607
-- Precision: 0.7167
-- Recall: 0.8130
 
 ## Model description
 
@@ -77,21 +44,13 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: cosine
 - lr_scheduler_warmup_ratio: 0.03
-- num_epochs: 10
+- num_epochs: 1
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
 |:-------------:|:------:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| No log        | 0.9032 | 7    | 1.0334          | 0.7317   | 0.6183 | 0.5354    | 0.7317 |
-| No log        | 1.9355 | 15   | 0.9193          | 0.7642   | 0.6866 | 0.6238    | 0.7642 |
-| No log        | 2.9677 | 23   | 0.7766          | 0.8049   | 0.7460 | 0.7005    | 0.8049 |
-| No log        | 4.0    | 31   | 0.8394          | 0.7724   | 0.7275 | 0.6889    | 0.7724 |
-| No log        | 4.9032 | 38   | 0.7391          | 0.7805   | 0.7351 | 0.6962    | 0.7805 |
-| No log        | 5.9355 | 46   | 0.7578          | 0.8130   | 0.7607 | 0.7167    | 0.8130 |
-| No log        | 6.9677 | 54   | 0.6822          | 0.8049   | 0.7558 | 0.7147    | 0.8049 |
-| No log        | 8.0    | 62   | 0.6980          | 0.8049   | 0.7543 | 0.7119    | 0.8049 |
-| No log        | 8.9032 | 69   | 0.7024          | 0.8130   | 0.7607 | 0.7167    | 0.8130 |
+| No log        | 0.9032 | 7    | 1.0005          | 0.7317   | 0.6183 | 0.5354    | 0.7317 |
 
 
 ### Framework versions

config.json

@@ -50,23 +50,21 @@
   "hidden_size": 768,
   "id2label": {
     "0": "asphyxia",
-    "1": "belly_pain",
-    "2": "burping",
-    "3": "discomfort",
-    "4": "hungry",
-    "5": "pain",
-    "6": "tired"
+    "1": "burping",
+    "2": "discomfort",
+    "3": "hungry",
+    "4": "pain",
+    "5": "tired"
   },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
   "label2id": {
     "asphyxia": "0",
-    "belly_pain": "1",
-    "burping": "2",
-    "discomfort": "3",
-    "hungry": "4",
-    "pain": "5",
-    "tired": "6"
+    "burping": "1",
+    "discomfort": "2",
+    "hungry": "3",
+    "pain": "4",
+    "tired": "5"
   },
   "layer_norm_eps": 1e-05,
   "layerdrop": 0.0,

model.safetensors

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+size 94767616

runs/Aug29_16-18-04_DesMar/events.out.tfevents.1724941094.DesMar

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training_args.bin

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