End of training

README.md

@@ -6,24 +6,9 @@ tags:
 - generated_from_trainer
 datasets:
 - audiofolder
-metrics:
-- accuracy
 model-index:
 - name: distilhubert-finetuned-mixed-data
-  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: 0.8691275167785235
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,9 +17,6 @@ should probably proofread and complete it, then remove this comment. -->
 # distilhubert-finetuned-mixed-data
 
 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: 0.3360
-- Accuracy: 0.8691
 
 ## Model description
 
@@ -62,19 +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: 0.001
-- num_epochs: 7
+- num_epochs: 1
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| No log        | 0.9664 | 18   | 0.6860          | 0.7584   |
-| No log        | 1.9866 | 37   | 0.4623          | 0.8020   |
-| No log        | 2.9530 | 55   | 0.4069          | 0.8188   |
-| No log        | 3.9732 | 74   | 0.3811          | 0.8356   |
-| No log        | 4.9933 | 93   | 0.3542          | 0.8356   |
-| No log        | 5.9597 | 111  | 0.3380          | 0.8658   |
-| No log        | 6.7651 | 126  | 0.3360          | 0.8691   |
+| No log        | 0.9664 | 18   | 0.9514          | 0.6745   |
 
 
 ### Framework versions

config.json

@@ -45,6 +45,7 @@
   "feat_proj_dropout": 0.0,
   "feat_proj_layer_norm": false,
   "final_dropout": 0.0,
+  "finetuning_task": "audio-classification",
   "hidden_act": "gelu",
   "hidden_dropout": 0.1,
   "hidden_size": 768,

model.safetensors

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runs/Sep05_13-02-53_ubumarcos/events.out.tfevents.1725534176.ubumarcos

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training_args.bin

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