End of training

README.md

@@ -0,0 +1,64 @@
+---
+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
+model-index:
+- name: Whisper Small PS - Hanif Rahman
+  results: []
+---
+
+<!-- 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:
+- eval_loss: 0.5649
+- eval_wer_ortho: 39.8068
+- eval_wer: 39.2011
+- eval_runtime: 655.7419
+- eval_samples_per_second: 1.112
+- eval_steps_per_second: 0.14
+- epoch: 2.2676
+- step: 1000
+
+## 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
+
+### Framework versions
+
+- Transformers 4.45.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.20.1

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+  "transformers_version": "4.45.2"
+}

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