Model save

README.md

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+---
+license: apache-2.0
+base_model: openai/whisper-large-v3
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: whisper-large-v3-basque
+  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-large-v3-basque
+
+This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1658
+- Wer: 8.3543
+
+## 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: 32
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 2
+- total_train_batch_size: 512
+- total_eval_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 5000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.0865        | 0.66  | 500  | 0.1567          | 11.7156 |
+| 0.0529        | 1.32  | 1000 | 0.1355          | 8.9309  |
+| 0.0488        | 1.98  | 1500 | 0.1251          | 8.4340  |
+| 0.0347        | 2.64  | 2000 | 0.1251          | 7.8145  |
+| 0.0246        | 3.3   | 2500 | 0.1301          | 7.5569  |
+| 0.0232        | 3.96  | 3000 | 0.1298          | 9.0719  |
+| 0.0167        | 4.62  | 3500 | 0.1392          | 8.0905  |
+| 0.0108        | 5.28  | 4000 | 0.1533          | 8.9493  |
+| 0.0107        | 5.94  | 4500 | 0.1526          | 8.9738  |
+| 0.0072        | 6.61  | 5000 | 0.1658          | 8.3543  |
+
+
+### Framework versions
+
+- Transformers 4.38.0
+- Pytorch 2.1.1+cu121
+- Datasets 2.8.0
+- Tokenizers 0.15.2

generation_config.json

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+  "forced_decoder_ids": [
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+    [
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+  "is_multilingual": true,
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+  "transformers_version": "4.38.0"
+}

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