Model save

README.md

@@ -0,0 +1,83 @@
+---
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- generated_from_trainer
+datasets:
+- common_voice_16_0
+metrics:
+- wer
+model-index:
+- name: openai/whisper-small
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: common_voice_16_0
+      type: common_voice_16_0
+      config: vi
+      split: test
+      args: vi
+    metrics:
+    - name: Wer
+      type: wer
+      value: 26.397641797113238
+---
+
+<!-- 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-small
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the common_voice_16_0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7127
+- Wer: 26.3976
+
+## 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-06
+- 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: 50
+- training_steps: 2500
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.0174        | 33.0  | 500  | 0.6207          | 24.6696 |
+| 0.0045        | 66.0  | 1000 | 0.6705          | 24.5680 |
+| 0.0027        | 99.01 | 1500 | 0.6945          | 25.2795 |
+| 0.002         | 133.0 | 2000 | 0.7079          | 26.4790 |
+| 0.0018        | 166.0 | 2500 | 0.7127          | 26.3976 |
+
+
+### 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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+  "transformers_version": "4.37.0.dev0"
+}

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