End of training

README.md

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+---
+library_name: transformers
+language:
+- ps
+license: mit
+base_model: openai/whisper-large-v3-turbo
+tags:
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_17_0
+metrics:
+- wer
+model-index:
+- name: Whisper Small PS - Hanif Rahman
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 17.0
+      type: mozilla-foundation/common_voice_17_0
+      config: ps_af
+      split: test+validation
+      args: 'config: ps, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 40.057062876830315
+---
+
+<!-- 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 PS - Hanif Rahman
+
+This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on the Common Voice 17.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5707
+- Wer Ortho: 40.7188
+- Wer: 40.0571
+
+## 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: cosine_with_restarts
+- lr_scheduler_warmup_steps: 200
+- training_steps: 1000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer Ortho | Wer     |
+|:-------------:|:------:|:----:|:---------------:|:---------:|:-------:|
+| 0.9719        | 0.2268 | 100  | 0.8098          | 59.2165   | 59.0924 |
+| 0.8427        | 0.4535 | 200  | 0.7384          | 55.1748   | 54.5596 |
+| 0.7493        | 0.6803 | 300  | 0.6743          | 48.8614   | 48.3473 |
+| 0.684         | 0.9070 | 400  | 0.6384          | 46.1094   | 45.5534 |
+| 0.4819        | 1.1338 | 500  | 0.6348          | 44.3341   | 43.7123 |
+| 0.4777        | 1.3605 | 600  | 0.6026          | 43.6758   | 42.9264 |
+| 0.4433        | 1.5873 | 700  | 0.5789          | 41.7386   | 40.9991 |
+| 0.446         | 1.8141 | 800  | 0.5647          | 40.2709   | 39.5995 |
+| 0.3166        | 2.0408 | 900  | 0.5681          | 40.4490   | 39.7771 |
+| 0.3187        | 2.2676 | 1000 | 0.5707          | 40.7188   | 40.0571 |
+
+
+### Framework versions
+
+- Transformers 4.45.1
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.20.0

generation_config.json

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+  "transformers_version": "4.45.1"
+}

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