End of training
Browse files- README.md +72 -0
- model.safetensors +1 -1
README.md
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---
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license: apache-2.0
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base_model: openai/whisper-small
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: whisper_speechcommandsV2_final
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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_speechcommandsV2_final
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4688
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- Accuracy: 0.9061
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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: 3e-05
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- train_batch_size: 42
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- eval_batch_size: 42
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 168
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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_ratio: 0.1
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.1229 | 1.0 | 505 | 0.4320 | 0.8990 |
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| 0.0833 | 2.0 | 1010 | 0.4022 | 0.9033 |
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| 0.0548 | 3.0 | 1515 | 0.3930 | 0.9055 |
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| 0.0566 | 4.0 | 2021 | 0.4313 | 0.9051 |
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| 0.0565 | 5.0 | 2526 | 0.4355 | 0.9059 |
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| 0.0165 | 6.0 | 3031 | 0.4096 | 0.9065 |
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| 0.0181 | 7.0 | 3536 | 0.4436 | 0.9057 |
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| 0.017 | 8.0 | 4042 | 0.4663 | 0.9061 |
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| 0.0077 | 9.0 | 4547 | 0.4599 | 0.9065 |
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| 0.0042 | 10.0 | 5050 | 0.4688 | 0.9061 |
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### Framework versions
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- Transformers 4.35.0
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- Pytorch 2.1.0+cu121
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- Datasets 2.14.6
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- Tokenizers 0.14.1
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
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size 353461320
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version https://git-lfs.github.com/spec/v1
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size 353461320
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