End of training

README.md

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+---
+base_model: openai/whisper-large-v3
+datasets:
+- google/fleurs
+language:
+- hi
+library_name: peft
+license: apache-2.0
+metrics:
+- wer
+tags:
+- generated_from_trainer
+model-index:
+- name: Whisper Large-v3 Hindi -megha sharma
+  results:
+  - task:
+      type: automatic-speech-recognition
+      name: Automatic Speech Recognition
+    dataset:
+      name: Google Fleurs
+      type: google/fleurs
+      config: hi_in
+      split: None
+      args: 'config: hi, split: test'
+    metrics:
+    - type: wer
+      value: 18.4303006638032
+      name: Wer
+---
+
+<!-- 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 Large-v3 Hindi -megha sharma
+
+This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the Google Fleurs dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1607
+- Wer: 18.4303
+
+## 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-06
+- train_batch_size: 8
+- 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: 2000
+- training_steps: 20000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step  | Validation Loss | Wer     |
+|:-------------:|:-------:|:-----:|:---------------:|:-------:|
+| 0.1781        | 6.7797  | 2000  | 0.1785          | 21.1734 |
+| 0.1519        | 13.5593 | 4000  | 0.1621          | 19.2405 |
+| 0.1286        | 20.3390 | 6000  | 0.1577          | 18.7427 |
+| 0.1259        | 27.1186 | 8000  | 0.1564          | 18.2058 |
+| 0.111         | 33.8983 | 10000 | 0.1568          | 17.9032 |
+| 0.1067        | 40.6780 | 12000 | 0.1582          | 17.8153 |
+| 0.1034        | 47.4576 | 14000 | 0.1591          | 18.8403 |
+| 0.0995        | 54.2373 | 16000 | 0.1603          | 18.8598 |
+| 0.0929        | 61.0169 | 18000 | 0.1607          | 18.4303 |
+
+
+### Framework versions
+
+- PEFT 0.12.1.dev0
+- Transformers 4.45.0.dev0
+- Pytorch 2.4.0+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

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runs/Sep06_02-51-40_speech-to-text-vm/events.out.tfevents.1725591101.speech-to-text-vm

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