Model save

README.md

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+---
+license: apache-2.0
+base_model: openai/whisper-base
+tags:
+- generated_from_trainer
+datasets:
+- fleurs
+metrics:
+- wer
+model-index:
+- name: breeze-listen-dsw-base-kn
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: fleurs
+      type: fleurs
+      config: kn_in
+      split: test
+      args: kn_in
+    metrics:
+    - name: Wer
+      type: wer
+      value: 31.10585305105853
+---
+
+<!-- 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-kn
+
+This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the fleurs dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2549
+- Wer: 31.1059
+
+## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.7196        | 1.03  | 100  | 0.5166          | 55.2130 |
+| 0.2769        | 2.06  | 200  | 0.2532          | 36.1594 |
+| 0.1896        | 4.02  | 300  | 0.2167          | 32.7298 |
+| 0.1384        | 5.04  | 400  | 0.2037          | 31.8356 |
+| 0.1099        | 7.0   | 500  | 0.2030          | 31.0560 |
+| 0.0707        | 8.03  | 600  | 0.2153          | 31.2453 |
+| 0.052         | 9.06  | 700  | 0.2258          | 30.6127 |
+| 0.0375        | 11.02 | 800  | 0.2413          | 31.2204 |
+| 0.0256        | 12.05 | 900  | 0.2507          | 31.0635 |
+| 0.0245        | 14.01 | 1000 | 0.2549          | 31.1059 |
+
+
+### 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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