End of training

README.md

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+---
+base_model: shhossain/whisper-tiny-bn-emo
+tags:
+- generated_from_trainer
+datasets:
+- audiofolder
+metrics:
+- accuracy
+model-index:
+- name: whisper-tiny-bn-emo2024-05-16
+  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: 0.9759879350566723
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# whisper-tiny-bn-emo2024-05-16
+
+This model is a fine-tuned version of [shhossain/whisper-tiny-bn-emo](https://huggingface.co/shhossain/whisper-tiny-bn-emo) on the audiofolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0753
+- Accuracy: 0.9760
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 3e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.1554        | 1.0   | 331  | 0.1258          | 0.9614   |
+| 0.096         | 2.0   | 663  | 0.0973          | 0.9693   |
+| 0.1093        | 3.0   | 995  | 0.0854          | 0.9737   |
+| 0.0903        | 4.0   | 1327 | 0.0816          | 0.9743   |
+| 0.0676        | 4.99  | 1655 | 0.0753          | 0.9760   |
+
+
+### Framework versions
+
+- Transformers 4.38.1
+- Pytorch 2.1.2+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.2