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README.md
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---
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license: apache-2.0
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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-tiny
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model-index:
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- name: Modelo_3_Whisper_Tiny
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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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# Modelo_3_Whisper_Tiny
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4710
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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: 5
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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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| 0.9233 | 1.0 | 1295 | 0.7396 |
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| 0.8323 | 2.0 | 2590 | 0.6168 |
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| 0.6931 | 3.0 | 3885 | 0.5398 |
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| 0.5671 | 4.0 | 5180 | 0.4955 |
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| 0.489 | 5.0 | 6475 | 0.4710 |
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### Framework versions
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- PEFT 0.7.1
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- Transformers 4.36.2
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- Pytorch 2.1.0+cu118
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- Datasets 2.16.1
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- Tokenizers 0.15.2
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