Model save

README.md

@@ -0,0 +1,98 @@
+---
+license: apache-2.0
+base_model: openai/whisper-base
+tags:
+- generated_from_trainer
+datasets:
+- common_voice_16_0
+metrics:
+- wer
+model-index:
+- name: openai/whisper-base
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: common_voice_16_0
+      type: common_voice_16_0
+      config: id
+      split: test
+      args: id
+    metrics:
+    - name: Wer
+      type: wer
+      value: 26.621584322384763
+---
+
+<!-- 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_16_0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4198
+- Wer: 26.6216
+
+## 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: 5e-07
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_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: 10000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Wer     |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|
+| 0.8238        | 4.01  | 500   | 0.6400          | 37.9750 |
+| 0.6348        | 9.01  | 1000  | 0.5193          | 32.2477 |
+| 0.4879        | 14.0  | 1500  | 0.4829          | 30.7250 |
+| 0.4518        | 19.0  | 2000  | 0.4645          | 29.7037 |
+| 0.4253        | 23.01 | 2500  | 0.4513          | 28.8757 |
+| 0.4471        | 28.01 | 3000  | 0.4409          | 28.0937 |
+| 0.3713        | 33.01 | 3500  | 0.4347          | 27.7854 |
+| 0.3233        | 38.0  | 4000  | 0.4307          | 27.6382 |
+| 0.3152        | 43.0  | 4500  | 0.4280          | 27.5324 |
+| 0.3152        | 47.01 | 5000  | 0.4245          | 27.2196 |
+| 0.333         | 52.01 | 5500  | 0.4227          | 26.9942 |
+| 0.257         | 57.0  | 6000  | 0.4217          | 26.9620 |
+| 0.25          | 62.0  | 6500  | 0.4214          | 26.8148 |
+| 0.2587        | 66.01 | 7000  | 0.4206          | 26.7550 |
+| 0.2765        | 71.01 | 7500  | 0.4198          | 26.6998 |
+| 0.2664        | 76.01 | 8000  | 0.4198          | 26.6216 |
+| 0.223         | 81.0  | 8500  | 0.4199          | 26.6446 |
+| 0.2309        | 86.0  | 9000  | 0.4199          | 26.6538 |
+| 0.233         | 90.01 | 9500  | 0.4198          | 26.6078 |
+| 0.2647        | 95.01 | 10000 | 0.4198          | 26.6216 |
+
+
+### 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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+  "forced_decoder_ids": [
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+    [
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+  "is_multilingual": true,
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+  "transformers_version": "4.37.0.dev0"
+}

model.safetensors

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