Model save

README.md

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+---
+license: apache-2.0
+base_model: openai/whisper-base
+tags:
+- generated_from_trainer
+datasets:
+- common_voice_16_0
+metrics:
+- wer
+model-index:
+- name: breeze-listen-dsw-base-hi
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: common_voice_16_0
+      type: common_voice_16_0
+      config: hi
+      split: test
+      args: hi
+    metrics:
+    - name: Wer
+      type: wer
+      value: 28.7949444323382
+---
+
+<!-- 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. -->
+
+# breeze-listen-dsw-base-hi
+
+This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the common_voice_16_0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5381
+- Wer: 28.7949
+
+## 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: 32
+- eval_batch_size: 16
+- seed: 42
+- distributed_type: multi-GPU
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 1000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.553         | 0.1   | 100  | 0.6445          | 39.4988 |
+| 0.3683        | 1.08  | 200  | 0.5342          | 33.0660 |
+| 0.2855        | 2.07  | 300  | 0.4983          | 31.4251 |
+| 0.2233        | 3.06  | 400  | 0.4868          | 30.1547 |
+| 0.1832        | 4.04  | 500  | 0.4783          | 28.9540 |
+| 0.1431        | 5.03  | 600  | 0.4902          | 29.1828 |
+| 0.0972        | 6.01  | 700  | 0.5049          | 28.6380 |
+| 0.0715        | 6.11  | 800  | 0.5205          | 28.5029 |
+| 0.0579        | 7.09  | 900  | 0.5366          | 28.9475 |
+| 0.0519        | 8.08  | 1000 | 0.5381          | 28.7949 |
+
+
+### Framework versions
+
+- Transformers 4.37.0.dev0
+- Pytorch 2.1.2+cu121
+- Datasets 2.16.2.dev0
+- Tokenizers 0.15.0

generation_config.json

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+}

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