End of training
Browse files- README.md +84 -0
- model.safetensors +1 -1
README.md
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---
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language:
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- ig
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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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datasets:
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- google/fleurs
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- google/fleurs
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- deepdml/igbo-dict-16khz
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- deepdml/igbo-dict-expansion-16khz
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metrics:
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- wer
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model-index:
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- name: Whisper Small ig
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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: google/fleurs
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type: google/fleurs
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config: ig_ng
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split: test
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metrics:
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- name: Wer
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type: wer
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value: 46.10372101384145
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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 ig
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the google/fleurs dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.5879
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- Wer: 46.1037
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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: 1e-05
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- train_batch_size: 64
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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: 5000
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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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| 0.1171 | 0.2 | 1000 | 1.2732 | 44.9937 |
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| 0.028 | 1.0814 | 2000 | 1.4495 | 46.2251 |
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| 0.0277 | 1.2814 | 3000 | 1.4894 | 45.3892 |
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| 0.0084 | 2.1628 | 4000 | 1.5629 | 44.6881 |
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| 0.0065 | 3.0442 | 5000 | 1.5879 | 46.1037 |
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### Framework versions
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- Transformers 4.42.0.dev0
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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model.safetensors
CHANGED
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 966995080
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version https://git-lfs.github.com/spec/v1
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oid sha256:e3ee95eddac2612839b4f81783f4d26b96bc39ced3a441221eadf834c58e2024
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size 966995080
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