Model save

README.md

@@ -0,0 +1,91 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: openai/whisper-base
+tags:
+- generated_from_trainer
+datasets:
+- common_voice_22_0
+metrics:
+- wer
+model-index:
+- name: openai/whisper-base
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: common_voice_22_0
+      type: common_voice_22_0
+      config: eu
+      split: test
+      args: eu
+    metrics:
+    - name: Wer
+      type: wer
+      value: 14.127053891405774
+---
+
+<!-- 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. -->
+
+# openai/whisper-base
+
+This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the common_voice_22_0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5965
+- Wer: 14.1271
+
+## 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: 3.75e-05
+- train_batch_size: 128
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Use OptimizerNames.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: 500
+- training_steps: 100000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch    | Step  | Validation Loss | Wer     |
+|:-------------:|:--------:|:-----:|:---------------:|:-------:|
+| 0.0041        | 21.6450  | 5000  | 0.3770          | 16.8402 |
+| 0.0025        | 43.2900  | 10000 | 0.4045          | 16.4480 |
+| 0.0034        | 64.9351  | 15000 | 0.4193          | 16.2587 |
+| 0.0014        | 86.5801  | 20000 | 0.4449          | 15.8953 |
+| 0.0012        | 108.2251 | 25000 | 0.4490          | 15.8251 |
+| 0.0           | 129.8701 | 30000 | 0.4585          | 14.3882 |
+| 0.0           | 151.5152 | 35000 | 0.4865          | 13.9656 |
+| 0.0           | 173.1602 | 40000 | 0.5256          | 13.7763 |
+| 0.0           | 194.8052 | 45000 | 0.5518          | 13.6419 |
+| 0.0           | 216.4502 | 50000 | 0.5558          | 13.6461 |
+| 0.0           | 238.0952 | 55000 | 0.5683          | 13.7171 |
+| 0.0           | 259.7403 | 60000 | 0.5801          | 13.9259 |
+| 0.0           | 281.3853 | 65000 | 0.5886          | 13.9631 |
+| 0.0           | 303.0303 | 70000 | 0.5965          | 14.1271 |
+
+
+### Framework versions
+
+- Transformers 4.52.3
+- Pytorch 2.6.0+cu124
+- Datasets 3.6.0
+- Tokenizers 0.21.1

generation_config.json

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+  "forced_decoder_ids": [
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+}

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