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-telugu
+  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: 0.06818181818181818
+---
+
+<!-- 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-telugu
+
+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: nan
+- Accuracy: 0.0682
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.7103        | 1.0   | 175  | 1.7471          | 0.3182   |
+| 1.7409        | 2.0   | 350  | 1.7368          | 0.1818   |
+| 1.8159        | 3.0   | 525  | 1.7274          | 0.2955   |
+| 1.7017        | 4.0   | 700  | 1.7233          | 0.2955   |
+| 1.7597        | 5.0   | 875  | 1.7177          | 0.2955   |
+| 1.7603        | 6.0   | 1050 | 1.7123          | 0.2955   |
+| 1.6626        | 7.0   | 1225 | 1.7082          | 0.2955   |
+| 1.5964        | 8.0   | 1400 | nan             | 0.25     |
+| 0.0           | 9.0   | 1575 | nan             | 0.0682   |
+| 0.0           | 10.0  | 1750 | nan             | 0.0682   |
+
+
+### 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:fbf12f3a0572ff7dd1f48b72073402baa00fa7cedd97161612aba23fde814361
+oid sha256:045f56d64088968a68a2196080e8142472a27d0dc448e763130b9ea83e0ea378
 size 33241280

runs/Jan06_21-18-43_jpasumarthy-mnb-C02FQ30YMD6R/events.out.tfevents.1736178543.jpasumarthy-mnb-C02FQ30YMD6R

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:883ab3695b6f874c44d24d6f549c707e48a07e5f3bf2bb392d18b9589d00c705
-size 83510
+oid sha256:ce99db878d383cd85c38a6fe4b7d809fae942aed4c2e419f2d3056ca19d20240
+size 84349