End of training

README.md

@@ -0,0 +1,86 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: openai/whisper-tiny
+tags:
+- generated_from_trainer
+datasets:
+- audiofolder
+metrics:
+- accuracy
+model-index:
+- name: whisper-tiny-tamil
+  results:
+  - task:
+      name: Audio Classification
+      type: audio-classification
+    dataset:
+      name: Speech Commands
+      type: audiofolder
+      config: default
+      split: train
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.7142857142857143
+---
+
+<!-- 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-tamil
+
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Speech Commands dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6296
+- Accuracy: 0.7143
+
+## 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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.9817        | 1.0   | 55   | 1.0006          | 0.5714   |
+| 0.894         | 2.0   | 110  | 0.8903          | 0.5714   |
+| 0.7656        | 3.0   | 165  | 0.8475          | 0.7143   |
+| 0.5697        | 4.0   | 220  | 0.7843          | 0.6429   |
+| 0.8338        | 5.0   | 275  | 0.7055          | 0.6429   |
+| 0.6986        | 6.0   | 330  | 0.7369          | 0.7143   |
+| 0.5099        | 7.0   | 385  | 0.6787          | 0.7143   |
+| 0.5774        | 8.0   | 440  | 0.6369          | 0.7143   |
+| 0.7313        | 9.0   | 495  | 0.6106          | 0.7857   |
+| 0.5775        | 10.0  | 550  | 0.6296          | 0.7143   |
+
+
+### Framework versions
+
+- Transformers 4.48.0.dev0
+- Pytorch 2.2.2
+- Datasets 3.2.0
+- Tokenizers 0.21.0

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a1c5b198053bb71bcdca9c52e4842cb778201781f70e9af1500fc091e3b4614a
+oid sha256:ecbf22a82c9887459049b1e6ab3f8a18f277ad4a8f3f173119550a00946e634c
 size 33238196

runs/Jan05_20-47-16_jpasumarthy-mnb-C02FQ30YMD6R/events.out.tfevents.1736090257.jpasumarthy-mnb-C02FQ30YMD6R

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:933c8ed52b63d2a35a59a61f7b28ceb5d18a9dc4a33fcd02795cb1021596b753
-size 32606
+oid sha256:0ddd021202719325db5a2ec1229b00c25fd753f381bd1f6f97c3e73b9b8b8ba2
+size 33494