End of training
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README.md
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library_name: peft
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tags:
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- generated_from_trainer
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datasets:
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- mozilla-foundation/common_voice_16_1
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base_model: openai/whisper-small
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model-index:
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- name: Whisper
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results: []
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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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# Whisper
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 16.1 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 0.001
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- train_batch_size: 16
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- eval_batch_size:
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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:
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- num_epochs:
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.
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| 0.
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| 0.6426 | 1.94 | 3000 | 0.6741 |
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| 0.5076 | 2.58 | 4000 | 0.6364 |
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### Framework versions
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- PEFT 0.
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- Transformers 4.38.
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- Pytorch 2.1.2
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- Datasets 2.18.
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- Tokenizers 0.15.2
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library_name: peft
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tags:
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- generated_from_trainer
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base_model: openai/whisper-small
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datasets:
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- mozilla-foundation/common_voice_16_1
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model-index:
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- name: Whisper small Taiwanese - LoRA
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results: []
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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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+
# Whisper small Taiwanese - LoRA
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 16.1 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4459
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 0.001
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- train_batch_size: 16
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- eval_batch_size: 8
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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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- num_epochs: 2
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.425 | 1.0 | 3111 | 0.5223 |
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| 0.2723 | 2.0 | 6222 | 0.4459 |
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### Framework versions
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- PEFT 0.10.1.dev0
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- Transformers 4.38.1
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- Pytorch 2.1.2
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- Datasets 2.18.1.dev0
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- Tokenizers 0.15.2
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adapter_model.safetensors
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runs/Apr05_13-10-14_5978cef41cb9/events.out.tfevents.1712322618.5978cef41cb9.26.0
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