SuperKogito
/

whisper-base-nl-3

+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: whisper-base-nl-3
+  results: []
+---
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+# whisper-base-nl-3
+This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7927
+- Wer: 31.4005
+- Cer: 9.9570
+## Model description
+More information needed
+## Intended uses & limitations
+More information needed
+## Training and evaluation data
+More information needed
+## Training procedure
+### Training hyperparameters
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 1
+- eval_batch_size: 2
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 5000
+- mixed_precision_training: Native AMP
+### Training results
+| Training Loss | Epoch | Step  | Cer     | Validation Loss | Wer     |
+|:-------------:|:-----:|:-----:|:-------:|:---------------:|:-------:|
+| 0.5761        | 0.06  | 1000  | 10.1154 | 0.5675          | 28.1532 |
+| 0.48          | 0.13  | 2000  | 9.6911  | 0.5239          | 26.4364 |
+| 0.4094        | 0.19  | 3000  | 9.1532  | 0.4925          | 24.8355 |
+| 0.4792        | 0.26  | 4000  | 8.8414  | 0.4702          | 24.1105 |
+| 0.3444        | 0.32  | 5000  | 8.8531  | 0.4544          | 23.9017 |
+| 0.3943        | 0.39  | 6000  | 8.3602  | 0.4446          | 22.7353 |
+| 0.4925        | 0.45  | 7000  | 8.3724  | 0.4348          | 22.1788 |
+| 0.4455        | 0.52  | 8000  | 8.2989  | 0.4270          | 21.7549 |
+| 0.3987        | 0.58  | 9000  | 7.9417  | 0.4139          | 20.8424 |
+| 0.3373        | 0.65  | 10000 | 7.8871  | 0.4116          | 21.2144 |
+| 0.3808        | 0.71  | 11000 | 7.6264  | 0.4016          | 20.5092 |
+| 0.4214        | 0.78  | 12000 | 7.4153  | 0.3949          | 20.0938 |
+| 0.3029        | 0.84  | 13000 | 7.3581  | 0.3902          | 19.7347 |
+| 0.3549        | 1.66  | 14000 | 7.1195  | 0.3908          | 19.4115 |
+| 0.3385        | 1.78  | 15000 | 7.7792  | 0.3906          | 20.2051 |
+| 0.3282        | 1.9   | 16000 | 7.1081  | 0.3923          | 19.2651 |
+| 0.3196        | 2.02  | 17000 | 7.2249  | 0.3923          | 19.3352 |
+| 0.3251        | 2.14  | 18000 | 7.1761  | 0.3981          | 19.4831 |
+| 0.4162        | 2.25  | 19000 | 7.0590  | 0.3958          | 19.0577 |
+| 0.2851        | 2.37  | 20000 | 7.0167  | 0.3953          | 19.2095 |
+| 0.2982        | 2.49  | 21000 | 6.8426  | 0.3929          | 18.8100 |
+| 0.3642        | 2.61  | 22000 | 6.8867  | 0.3954          | 18.6972 |
+| 0.2297        | 2.73  | 23000 | 6.9384  | 0.3916          | 18.7330 |
+| 0.2313        | 2.85  | 24000 | 6.7785  | 0.3930          | 18.6034 |
+| 0.2833        | 2.97  | 25000 | 6.8552  | 0.3910          | 18.5981 |
+| 0.2509        | 3.09  | 26000 | 6.8165  | 0.3949          | 18.5180 |
+| 0.2085        | 3.2   | 27000 | 6.8113  | 0.3985          | 18.6133 |
+| 0.2055        | 3.32  | 28000 | 6.8624  | 0.3995          | 18.7612 |
+| 0.175         | 3.44  | 29000 | 6.7727  | 0.4009          | 18.4814 |
+| 0.1701        | 3.56  | 30000 | 7.0136  | 0.3998          | 18.8344 |
+### Framework versions
+- Transformers 4.26.0.dev0
+- Pytorch 1.13.1+cu117
+- Datasets 2.8.1.dev0
+- Tokenizers 0.13.2