Model save

README.md

@@ -5,24 +5,9 @@ tags:
 - generated_from_trainer
 datasets:
 - audiofolder
-metrics:
-- accuracy
 model-index:
 - name: wav2vec2-base-finetuned-Speaker-Classification
-  results:
-  - task:
-      name: Audio Classification
-      type: audio-classification
-    dataset:
-      name: audiofolder
-      type: audiofolder
-      config: data
-      split: test
-      args: data
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.7928513403736799
+  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. -->
 # wav2vec2-base-finetuned-Speaker-Classification
 
 This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the audiofolder dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.4830
-- Accuracy: 0.7929
 
 ## Model description
 
@@ -63,17 +45,6 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_ratio: 0.1
 - num_epochs: 5
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.4998        | 1.0   | 123  | 0.5159          | 0.7855   |
-| 0.4609        | 2.0   | 246  | 0.5024          | 0.7498   |
-| 0.4876        | 3.0   | 369  | 0.4886          | 0.7864   |
-| 0.4969        | 4.0   | 492  | 0.4830          | 0.7929   |
-| 0.4976        | 5.0   | 615  | 0.4961          | 0.7880   |
-
-
 ### Framework versions
 
 - Transformers 4.38.2

model.safetensors

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