End of training

README.md

@@ -0,0 +1,89 @@
+---
+language:
+- en
+license: apache-2.0
+base_model: openai/whisper-tiny.en
+tags:
+- hf-asr-leaderboard
+- generated_from_trainer
+datasets:
+- vision
+- Finetunedtiny
+metrics:
+- wer
+model-index:
+- name: ThangaTharun/Bharishkafinetuned
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: ThangaTharun/Barishka
+      type: vision
+    metrics:
+    - name: Wer
+      type: wer
+      value: 0.0
+---
+
+<!-- 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. -->
+
+# ThangaTharun/Bharishkafinetuned
+
+This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on the ThangaTharun/Barishka dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6092
+- Wer: 0.0
+
+## 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: 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: 1
+- training_steps: 60
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 6.0126        | 1.67  | 5    | 5.7191          | 27.2727 |
+| 4.5556        | 3.33  | 10   | 4.0076          | 18.1818 |
+| 3.385         | 5.0   | 15   | 3.0201          | 22.7273 |
+| 2.7403        | 6.67  | 20   | 2.2411          | 18.1818 |
+| 1.9444        | 8.33  | 25   | 2.0404          | 4.5455  |
+| 1.9864        | 10.0  | 30   | 1.9273          | 4.5455  |
+| 2.3372        | 11.67 | 35   | 1.8292          | 0.0     |
+| 1.5928        | 13.33 | 40   | 1.7561          | 0.0     |
+| 1.8158        | 15.0  | 45   | 1.6984          | 0.0     |
+| 1.7321        | 16.67 | 50   | 1.6561          | 0.0     |
+| 1.7266        | 18.33 | 55   | 1.6268          | 0.0     |
+| 1.6997        | 20.0  | 60   | 1.6092          | 0.0     |
+
+
+### Framework versions
+
+- Transformers 4.36.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.0

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+}

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