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Whisper-small-FullFinetuning-CV-train-test

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+ ---
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+ base_model: mohammadsp99/whisper-small
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - common_voice_13_0
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+ metrics:
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+ - wer
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+ model-index:
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+ - name: Whisper-small-FullFinetuning-CV-train-test
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+ results:
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+ - task:
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+ name: Automatic Speech Recognition
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+ type: automatic-speech-recognition
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+ dataset:
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+ name: common_voice_13_0
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+ type: common_voice_13_0
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+ config: fa
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+ split: test
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+ args: fa
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 93.93939393939394
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # Whisper-small-FullFinetuning-CV-train-test
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+
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+ This model is a fine-tuned version of [mohammadsp99/whisper-small](https://huggingface.co/mohammadsp99/whisper-small) on the common_voice_13_0 dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.7646
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+ - Wer: 93.9394
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0001
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 50
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+ - training_steps: 2000
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Wer |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.886 | 0.05 | 100 | 2.1958 | 101.5152 |
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+ | 0.6142 | 0.1 | 200 | 2.2113 | 110.6061 |
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+ | 0.5544 | 0.15 | 300 | 2.2247 | 215.1515 |
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+ | 0.4809 | 0.2 | 400 | 1.8149 | 104.5455 |
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+ | 0.393 | 0.25 | 500 | 1.8802 | 96.9697 |
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+ | 0.4191 | 0.3 | 600 | 1.9056 | 107.5758 |
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+ | 0.3515 | 0.35 | 700 | 1.9166 | 89.3939 |
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+ | 0.2671 | 0.4 | 800 | 1.9010 | 86.3636 |
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+ | 0.2763 | 0.45 | 900 | 1.8574 | 96.9697 |
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+ | 0.2896 | 0.5 | 1000 | 1.8940 | 95.4545 |
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+ | 0.2201 | 0.55 | 1100 | 1.6264 | 96.9697 |
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+ | 0.1937 | 0.6 | 1200 | 1.8990 | 98.4848 |
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+ | 0.1787 | 0.65 | 1300 | 1.7999 | 100.0 |
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+ | 0.1138 | 0.7 | 1400 | 1.8118 | 96.9697 |
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+ | 0.1759 | 0.75 | 1500 | 1.9026 | 93.9394 |
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+ | 0.1276 | 0.8 | 1600 | 1.8715 | 195.4545 |
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+ | 0.1437 | 0.85 | 1700 | 1.7353 | 92.4242 |
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+ | 0.1593 | 1.02 | 1800 | 1.7307 | 95.4545 |
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+ | 0.1617 | 1.07 | 1900 | 1.7732 | 96.9697 |
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+ | 0.1737 | 1.12 | 2000 | 1.7646 | 93.9394 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.31.0
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+ - Pytorch 2.0.1+cu118
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+ - Datasets 2.14.3
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+ - Tokenizers 0.13.3