End of training

README.md

@@ -0,0 +1,83 @@
+---
+library_name: transformers
+language:
+- ta
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- generated_from_trainer
+datasets:
+- sp03/tamil
+metrics:
+- wer
+model-index:
+- name: Whisper Small ta - Sp03
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 11.0
+      type: sp03/tamil
+      config: default
+      split: None
+      args: 'config: ta, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 100.0
+---
+
+<!-- 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 Small ta - Sp03
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.6056
+- Wer: 100.0
+
+## 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: 0.001
+- train_batch_size: 4
+- eval_batch_size: 1
+- 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
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer   |
+|:-------------:|:-----:|:----:|:---------------:|:-----:|
+| 1.4066        | 1.0   | 4    | 9.3832          | 100.0 |
+| 21.3162       | 2.0   | 8    | 21.2056         | 100.0 |
+| 11.2822       | 3.0   | 12   | 7.6851          | 100.0 |
+| 6.0345        | 4.0   | 16   | 4.8468          | 100.0 |
+| 3.8909        | 5.0   | 20   | 3.6056          | 100.0 |
+
+
+### Framework versions
+
+- Transformers 4.47.1
+- Pytorch 2.5.1+cu124
+- Datasets 3.2.0
+- Tokenizers 0.21.0

config.json

@@ -55,7 +55,7 @@
   "scale_embedding": false,
   "torch_dtype": "float32",
   "transformers_version": "4.47.1",
-  "use_cache": true,
+  "use_cache": false,
   "use_weighted_layer_sum": false,
   "vocab_size": 51865
 }

generation_config.json

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+}

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