End of training

README.md

@@ -0,0 +1,133 @@
+---
+license: apache-2.0
+base_model: facebook/hubert-base-ls960
+tags:
+- generated_from_trainer
+datasets:
+- audiofolder
+metrics:
+- accuracy
+model-index:
+- name: urdu-emotions-hubert-large-Emotion
+  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: 0.8166666666666667
+---
+
+<!-- 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. -->
+
+# urdu-emotions-hubert-large-Emotion
+
+This model is a fine-tuned version of [facebook/hubert-base-ls960](https://huggingface.co/facebook/hubert-base-ls960) on the audiofolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3374
+- Accuracy: 0.8167
+
+## 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: 0.0001
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.2
+- num_epochs: 60
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Accuracy |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|
+| No log        | 0.9333  | 7    | 0.9539          | 0.7833   |
+| 0.1337        | 2.0     | 15   | 0.8845          | 0.8167   |
+| 0.1048        | 2.9333  | 22   | 1.0824          | 0.75     |
+| 0.0406        | 4.0     | 30   | 1.0672          | 0.8      |
+| 0.0406        | 4.9333  | 37   | 1.2542          | 0.75     |
+| 0.0931        | 6.0     | 45   | 0.9778          | 0.8      |
+| 0.0646        | 6.9333  | 52   | 1.2557          | 0.75     |
+| 0.0966        | 8.0     | 60   | 1.0541          | 0.7833   |
+| 0.0966        | 8.9333  | 67   | 1.5521          | 0.75     |
+| 0.1301        | 10.0    | 75   | 0.9688          | 0.8333   |
+| 0.2704        | 10.9333 | 82   | 1.2517          | 0.7667   |
+| 0.1625        | 12.0    | 90   | 1.3938          | 0.7667   |
+| 0.1625        | 12.9333 | 97   | 1.4804          | 0.7667   |
+| 0.1278        | 14.0    | 105  | 0.9219          | 0.8167   |
+| 0.2052        | 14.9333 | 112  | 1.2735          | 0.75     |
+| 0.2487        | 16.0    | 120  | 1.0251          | 0.7833   |
+| 0.2487        | 16.9333 | 127  | 1.1808          | 0.8      |
+| 0.1784        | 18.0    | 135  | 1.2522          | 0.7333   |
+| 0.2182        | 18.9333 | 142  | 0.8958          | 0.8333   |
+| 0.1688        | 20.0    | 150  | 1.1747          | 0.75     |
+| 0.1688        | 20.9333 | 157  | 1.3938          | 0.8      |
+| 0.2948        | 22.0    | 165  | 0.6410          | 0.8833   |
+| 0.0945        | 22.9333 | 172  | 0.8846          | 0.8333   |
+| 0.0738        | 24.0    | 180  | 0.7653          | 0.8333   |
+| 0.0738        | 24.9333 | 187  | 0.7587          | 0.8333   |
+| 0.0909        | 26.0    | 195  | 1.1861          | 0.8      |
+| 0.0721        | 26.9333 | 202  | 0.8185          | 0.8333   |
+| 0.1215        | 28.0    | 210  | 1.4169          | 0.7333   |
+| 0.1215        | 28.9333 | 217  | 1.1844          | 0.8      |
+| 0.0454        | 30.0    | 225  | 1.1273          | 0.7833   |
+| 0.0915        | 30.9333 | 232  | 1.3536          | 0.8      |
+| 0.0274        | 32.0    | 240  | 1.1561          | 0.7667   |
+| 0.0274        | 32.9333 | 247  | 1.2680          | 0.7833   |
+| 0.0251        | 34.0    | 255  | 1.3334          | 0.8      |
+| 0.1263        | 34.9333 | 262  | 1.2555          | 0.8167   |
+| 0.0389        | 36.0    | 270  | 1.0567          | 0.8      |
+| 0.0389        | 36.9333 | 277  | 1.5755          | 0.7667   |
+| 0.109         | 38.0    | 285  | 1.5332          | 0.7667   |
+| 0.0599        | 38.9333 | 292  | 1.0758          | 0.85     |
+| 0.0064        | 40.0    | 300  | 1.1251          | 0.85     |
+| 0.0064        | 40.9333 | 307  | 1.3546          | 0.8      |
+| 0.003         | 42.0    | 315  | 1.4129          | 0.8      |
+| 0.0303        | 42.9333 | 322  | 1.3925          | 0.8      |
+| 0.0016        | 44.0    | 330  | 1.3129          | 0.7833   |
+| 0.0016        | 44.9333 | 337  | 1.2522          | 0.8      |
+| 0.0308        | 46.0    | 345  | 1.3130          | 0.8167   |
+| 0.002         | 46.9333 | 352  | 1.3005          | 0.8333   |
+| 0.003         | 48.0    | 360  | 1.3434          | 0.8      |
+| 0.003         | 48.9333 | 367  | 1.3762          | 0.8      |
+| 0.0024        | 50.0    | 375  | 1.4090          | 0.8      |
+| 0.0778        | 50.9333 | 382  | 1.3769          | 0.8167   |
+| 0.0024        | 52.0    | 390  | 1.3748          | 0.8167   |
+| 0.0024        | 52.9333 | 397  | 1.3649          | 0.8167   |
+| 0.0132        | 54.0    | 405  | 1.3365          | 0.8167   |
+| 0.0102        | 54.9333 | 412  | 1.3363          | 0.8167   |
+| 0.0012        | 56.0    | 420  | 1.3374          | 0.8167   |
+
+
+### Framework versions
+
+- Transformers 4.40.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9c20e881429963a837c196264c06e7082e52c00f6d58fb4e282124457c911764
+oid sha256:50d0e585ecde85fb95c35010ce951f2cc95ba5854b60338474dbe042a4a68b9c
 size 378302972

runs/May21_08-23-56_d4820faeae8c/events.out.tfevents.1716279837.d4820faeae8c.1405.1

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:410bc55575b8789ab5ad7278da3a8ec2fedf9e7af67f2187a17bd656530bbfd3
-size 26847
+oid sha256:6acf128f7b1a4fe2904ed58bd9a8de88dc77af9c6ca3950c57430a54836e2b74
+size 32976