End of training

README.md

@@ -0,0 +1,86 @@
+---
+license: apache-2.0
+base_model: openai/whisper-medium
+tags:
+- generated_from_trainer
+datasets:
+- audiofolder
+metrics:
+- accuracy
+model-index:
+- name: Pak-Speech-Processing/urdu-emotion-whisper
+  results:
+  - task:
+      name: Audio Classification
+      type: audio-classification
+    dataset:
+      name: Pak-Speech-Processing/urdu-emotions
+      type: audiofolder
+      config: default
+      split: train
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9166666666666666
+---
+
+<!-- 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. -->
+
+# Pak-Speech-Processing/urdu-emotion-whisper
+
+This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Pak-Speech-Processing/urdu-emotions dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5604
+- Accuracy: 0.9167
+
+## 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: 5e-05
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.0018        | 1.0   | 120  | 2.0096          | 0.6667   |
+| 0.5139        | 2.0   | 240  | 0.8303          | 0.8667   |
+| 0.6903        | 3.0   | 360  | 0.8813          | 0.8833   |
+| 0.0006        | 4.0   | 480  | 0.3012          | 0.95     |
+| 1.5207        | 5.0   | 600  | 0.6310          | 0.8833   |
+| 0.0005        | 6.0   | 720  | 0.5993          | 0.9      |
+| 0.0004        | 7.0   | 840  | 0.3247          | 0.9167   |
+| 0.0001        | 8.0   | 960  | 0.5303          | 0.9167   |
+| 0.0001        | 9.0   | 1080 | 0.5530          | 0.9167   |
+| 0.0001        | 10.0  | 1200 | 0.5604          | 0.9167   |
+
+
+### Framework versions
+
+- Transformers 4.39.0.dev0
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c124e659de452a19ac6ce5242b0ba7c8e81f3a9587f82cd35f3d4ac3f1215f41
+oid sha256:04b87d416878ea60f81109a08e823d16e16b28e54efae8b1c9bed5d44523bc5b
 size 1229958924

runs/Mar14_07-08-08_4248cf818b47/events.out.tfevents.1710400453.4248cf818b47.181.3

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9a84752b97a08fc04cf69e5506ff5184a6a581b44160535c971a76ddb324a3e1
-size 60197
+oid sha256:01956a47d88c7180ba892766ced85109c9fc3b2b4cd893679ec6967ea64bc841
+size 60551