End of training

README.md

@@ -0,0 +1,92 @@
+---
+library_name: transformers
+language:
+- fa
+base_model: openai/whisper-large
+tags:
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_15_0
+metrics:
+- wer
+model-index:
+- name: Whisper large fa - marziye-A
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 15.0
+      type: mozilla-foundation/common_voice_15_0
+      config: fa
+      split: None
+      args: 'config: fa, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 19.74175831429967
+---
+
+<!-- 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 fa - marziye-A
+
+This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co/openai/whisper-large) on the Common Voice 15.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1571
+- Wer: 19.7418
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 2
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step  | Validation Loss | Wer     |
+|:-------------:|:------:|:-----:|:---------------:|:-------:|
+| 0.2189        | 0.1567 | 2000  | 0.2248          | 29.0575 |
+| 0.1972        | 0.3134 | 4000  | 0.2035          | 25.1376 |
+| 0.1906        | 0.4701 | 6000  | 0.1923          | 25.7159 |
+| 0.1595        | 0.6268 | 8000  | 0.1806          | 22.4166 |
+| 0.1747        | 0.7835 | 10000 | 0.1753          | 23.0041 |
+| 0.1744        | 0.9402 | 12000 | 0.1709          | 22.4932 |
+| 0.1357        | 1.0969 | 14000 | 0.1687          | 20.7782 |
+| 0.1345        | 1.2536 | 16000 | 0.1646          | 21.3221 |
+| 0.1362        | 1.4103 | 18000 | 0.1619          | 21.1082 |
+| 0.121         | 1.5670 | 20000 | 0.1601          | 20.3781 |
+| 0.1354        | 1.7237 | 22000 | 0.1587          | 19.8157 |
+| 0.122         | 1.8804 | 24000 | 0.1571          | 19.7418 |
+
+
+### Framework versions
+
+- Transformers 4.45.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.20.1

generation_config.json

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+}

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