End of training

README.md

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+---
+language:
+- en
+license: mit
+base_model: distil-whisper/distil-small.en
+tags:
+- hf-asr-leaderboard
+- generated_from_trainer
+datasets:
+- vision
+- finetuneasr
+metrics:
+- wer
+model-index:
+- name: ThangaTharun/finetunedsmall
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: ThangaTharun/Barishka2
+      type: vision
+    metrics:
+    - name: Wer
+      type: wer
+      value: 5.47945205479452
+---
+
+<!-- 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/finetunedsmall
+
+This model is a fine-tuned version of [distil-whisper/distil-small.en](https://huggingface.co/distil-whisper/distil-small.en) on the ThangaTharun/Barishka2 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0136
+- Wer: 5.4795
+
+## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 3.1327        | 1.25  | 5    | 2.6560          | 47.9452 |
+| 1.7171        | 2.5   | 10   | 1.7472          | 26.0274 |
+| 1.0789        | 3.75  | 15   | 0.9175          | 12.3288 |
+| 0.0999        | 5.0   | 20   | 0.1663          | 13.6986 |
+| 0.0173        | 6.25  | 25   | 0.0855          | 13.6986 |
+| 0.004         | 7.5   | 30   | 0.0366          | 9.5890  |
+| 0.0017        | 8.75  | 35   | 0.0216          | 6.8493  |
+| 0.0008        | 10.0  | 40   | 0.0165          | 6.8493  |
+| 0.0005        | 11.25 | 45   | 0.0146          | 5.4795  |
+| 0.0005        | 12.5  | 50   | 0.0138          | 5.4795  |
+| 0.0005        | 13.75 | 55   | 0.0136          | 5.4795  |
+| 0.0004        | 15.0  | 60   | 0.0136          | 5.4795  |
+
+
+### Framework versions
+
+- Transformers 4.36.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.0

generation_config.json

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+  "language": "<|en|>",
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+  "transformers_version": "4.36.2",
+  "use_scan": false
+}

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