End of training

README.md

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+---
+language:
+- fa
+license: apache-2.0
+base_model: openai/whisper-large-v3
+tags:
+- hf-asr-leaderboard
+- generated_from_trainer
+datasets:
+- google/fleurs
+metrics:
+- wer
+model-index:
+- name: Whisper Large V3 fa ft 2 - Chee Li
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Google Fleurs
+      type: google/fleurs
+      config: fa_ir
+      split: None
+      args: 'config: fa split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 24.19210053859964
+---
+
+<!-- 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 fa ft 2 - Chee Li
+
+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: 0.1595
+- Wer: 24.1921
+
+## 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-06
+- 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: 250
+- training_steps: 2000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 0.1176        | 2.3041 | 500  | 0.1506          | 14.7516 |
+| 0.0718        | 4.6083 | 1000 | 0.1432          | 20.4020 |
+| 0.0501        | 6.9124 | 1500 | 0.1535          | 23.5787 |
+| 0.0332        | 9.2166 | 2000 | 0.1595          | 24.1921 |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

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+}

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