End of training

README.md

@@ -0,0 +1,88 @@
+---
+language:
+- ml
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_11_0
+metrics:
+- wer
+model-index:
+- name: Whisper Small Malayalam - Arjun Shaji
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 11.0
+      type: mozilla-foundation/common_voice_11_0
+      config: ml
+      split: None
+      args: 'config: ml, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 81.60919540229885
+---
+
+<!-- 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 Malayalam - Arjun Shaji
+
+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: 0.7363
+- Wer: 81.6092
+
+## 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: 1e-05
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 1000
+- training_steps: 5000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch    | Step | Validation Loss | Wer     |
+|:-------------:|:--------:|:----:|:---------------:|:-------:|
+| 0.0433        | 18.5185  | 500  | 0.5265          | 94.7126 |
+| 0.0144        | 37.0370  | 1000 | 0.5352          | 89.1954 |
+| 0.0057        | 55.5556  | 1500 | 0.5989          | 87.5862 |
+| 0.0004        | 74.0741  | 2000 | 0.6575          | 82.0690 |
+| 0.0           | 92.5926  | 2500 | 0.6616          | 81.6092 |
+| 0.0           | 111.1111 | 3000 | 0.6911          | 81.3793 |
+| 0.0           | 129.6296 | 3500 | 0.7097          | 81.3793 |
+| 0.0           | 148.1481 | 4000 | 0.7232          | 81.3793 |
+| 0.0           | 166.6667 | 4500 | 0.7327          | 81.3793 |
+| 0.0           | 185.1852 | 5000 | 0.7363          | 81.6092 |
+
+
+### Framework versions
+
+- Transformers 4.41.0
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

generation_config.json

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+  "is_multilingual": true,
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+  "language": "Malayalam",
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+}

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