Commit
·
ecc0618
1
Parent(s):
dfe28ed
Upload 5 files
Browse files- README.md +88 -0
- all_results.json +12 -0
- eval_results.json +8 -0
- train_results.json +7 -0
- trainer_state.json +1315 -0
README.md
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+
---
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license: apache-2.0
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tags:
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- whisper-event
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- generated_from_trainer
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datasets:
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- data/copas
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metrics:
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- wer
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model-index:
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- name: Whisper Small Dutch
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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: data/copas copas-full
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type: data/copas
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config: copas-full
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split: test
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args: copas-full
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metrics:
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- name: Wer
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type: wer
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value: 0.0
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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 Dutch
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This model is a fine-tuned version of [qmeeus/whisper-small-nl](https://huggingface.co/qmeeus/whisper-small-nl) on the data/copas copas-full dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0015
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- Wer: 0.0
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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: 32
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- eval_batch_size: 32
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 64
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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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- mixed_precision_training: Native AMP
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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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| 0.1291 | 2.03 | 500 | 0.2953 | 25.0681 |
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| 0.0524 | 5.03 | 1000 | 0.1626 | 13.9118 |
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| 0.0403 | 8.03 | 1500 | 0.0825 | 6.5450 |
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| 0.0349 | 11.03 | 2000 | 0.0409 | 2.5652 |
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| 0.0122 | 14.03 | 2500 | 0.0173 | 0.6619 |
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| 0.0053 | 17.03 | 3000 | 0.0068 | 0.0822 |
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| 0.0032 | 20.02 | 3500 | 0.0037 | 0.0173 |
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| 0.0022 | 23.02 | 4000 | 0.0024 | 0.0 |
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| 0.0018 | 26.02 | 4500 | 0.0018 | 0.0 |
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| 0.0016 | 29.02 | 5000 | 0.0015 | 0.0 |
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### Framework versions
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- Transformers 4.26.0.dev0
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- Pytorch 1.12.1+cu116
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- Datasets 2.4.0
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- Tokenizers 0.12.1
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all_results.json
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{
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"epoch": 29.02,
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"eval_loss": 0.001516498625278473,
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"eval_runtime": 1262.0382,
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"eval_samples_per_second": 8.55,
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"eval_steps_per_second": 0.268,
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"eval_wer": 0.0,
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"train_loss": 0.12212072040811181,
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"train_runtime": 32355.637,
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"train_samples_per_second": 9.89,
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"train_steps_per_second": 0.155
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}
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eval_results.json
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{
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"epoch": 29.02,
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"eval_loss": 0.001516498625278473,
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"eval_runtime": 1262.0382,
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"eval_samples_per_second": 8.55,
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"eval_steps_per_second": 0.268,
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"eval_wer": 0.0
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}
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train_results.json
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{
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"epoch": 29.02,
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"train_loss": 0.12212072040811181,
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"train_runtime": 32355.637,
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"train_samples_per_second": 9.89,
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"train_steps_per_second": 0.155
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}
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trainer_state.json
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| 1 |
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| 11 |
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| 33 |
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