End of training
Browse files- README.md +70 -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-tiny.en
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tags:
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- generated_from_trainer
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metrics:
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- wer
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model-index:
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- name: whisperFinetuneFinal
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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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# whisperFinetuneFinal
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This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5711
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- Wer: 22.2920
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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: 128
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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: 500
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- training_steps: 100
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:------:|:----:|:---------------:|:-------:|
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| 2.8037 | 0.2778 | 10 | 1.8972 | 34.0973 |
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| 0.8101 | 0.5556 | 20 | 0.6863 | 28.6970 |
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| 0.5778 | 0.8333 | 30 | 0.5491 | 22.8885 |
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| 0.4375 | 1.1111 | 40 | 0.4962 | 20.7535 |
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| 0.3437 | 1.3889 | 50 | 0.4767 | 20.2512 |
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| 0.3277 | 1.6667 | 60 | 0.4921 | 21.0047 |
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| 0.3431 | 1.9444 | 70 | 0.4972 | 20.4082 |
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| 0.1331 | 2.2222 | 80 | 0.5317 | 25.7143 |
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| 0.1385 | 2.5 | 90 | 0.5308 | 20.4396 |
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| 0.146 | 2.7778 | 100 | 0.5711 | 22.2920 |
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### Framework versions
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- Transformers 4.40.1
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- Pytorch 2.2.1+cu121
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- Datasets 2.19.1.dev0
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- Tokenizers 0.19.1
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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 151060136
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version https://git-lfs.github.com/spec/v1
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size 151060136
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