Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: openai/whisper-base
+tags:
+- generated_from_trainer
+model-index:
+- name: whisper-base-me
+  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-base-me
+
+This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.1443
+- Mazanderani Wer: 1.1377
+- Mazanderani Cer: 0.7784
+- Gilaki Wer: 1.2232
+- Gilaki Cer: 0.8535
+- Zazaki Wer: 1.2574
+- Zazaki Cer: 0.8634
+- Laki Kurdish Wer: 1.0568
+- Laki Kurdish Cer: 0.8054
+- Talysh Wer: 1.0
+- Talysh Cer: 0.8333
+- Hawrami Wer: 1.0632
+- Hawrami Cer: 0.7705
+- Southern Kurdish Wer: 1.6039
+- Southern Kurdish Cer: 1.0439
+- Avg Wer: 1.1917
+- Avg Cer: 0.8498
+
+## 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: 256
+- eval_batch_size: 128
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 4.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Mazanderani Wer | Mazanderani Cer | Gilaki Wer | Gilaki Cer | Zazaki Wer | Zazaki Cer | Laki Kurdish Wer | Laki Kurdish Cer | Talysh Wer | Talysh Cer | Hawrami Wer | Hawrami Cer | Southern Kurdish Wer | Southern Kurdish Cer | Avg Wer | Avg Cer |
+|:-------------:|:-----:|:----:|:---------------:|:---------------:|:---------------:|:----------:|:----------:|:----------:|:----------:|:----------------:|:----------------:|:----------:|:----------:|:-----------:|:-----------:|:--------------------:|:--------------------:|:-------:|:-------:|
+| No log        | 1.0   | 4    | 4.3810          | 1.4671          | 1.0317          | 1.3956     | 1.0145     | 1.2574     | 0.8624     | 1.0669           | 0.8138           | 1.0        | 0.875      | 1.0632      | 0.7736      | 1.6118               | 1.0330               | 1.2660  | 0.9149  |
+| No log        | 2.0   | 8    | 4.3746          | 1.4671          | 1.0430          | 1.2142     | 0.8587     | 1.2574     | 0.8609     | 1.0649           | 0.8070           | 1.0        | 0.875      | 1.0632      | 0.7736      | 1.6098               | 1.0326               | 1.2395  | 0.8930  |
+| No log        | 3.0   | 12   | 4.3250          | 1.4611          | 1.0388          | 1.2178     | 0.8595     | 1.2574     | 0.8609     | 1.0629           | 0.8086           | 1.0        | 0.8333     | 1.0675      | 0.7744      | 1.6078               | 1.0326               | 1.2392  | 0.8869  |
+| No log        | 4.0   | 16   | 4.1443          | 1.1377          | 0.7784          | 1.2232     | 0.8535     | 1.2574     | 0.8634     | 1.0568           | 0.8054           | 1.0        | 0.8333     | 1.0632      | 0.7705      | 1.6039               | 1.0439               | 1.1917  | 0.8498  |
+
+
+### Framework versions
+
+- Transformers 4.49.0.dev0
+- Pytorch 2.6.0+cu124
+- Datasets 3.2.0
+- Tokenizers 0.21.0

generation_config.json

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+  "is_multilingual": true,
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+  "task": "transcribe",
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+  "transformers_version": "4.49.0.dev0"
+}