jmaczan
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wav2vec2-large-960h-lv60-self-dysarthria

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 ---
-library_name: transformers
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 ---
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 ---
+license: apache-2.0
+base_model: facebook/wav2vec2-large-960h-lv60-self
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: wav2vec2-large-960h-lv60-self-dysarthria
+  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. -->
+# wav2vec2-large-960h-lv60-self-dysarthria
+This model is a fine-tuned version of [facebook/wav2vec2-large-960h-lv60-self](https://huggingface.co/facebook/wav2vec2-large-960h-lv60-self) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.3289
+- Wer: 1.0
+## 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: 0.0001
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 1000
+- num_epochs: 30
+### Training results
+| Training Loss | Epoch | Step | Validation Loss | Wer   |
+|:-------------:|:-----:|:----:|:---------------:|:-----:|
+| 102.5595      | 1.6   | 200  | 96.4849         | 1.044 |
+| 96.3152       | 3.2   | 400  | 90.3864         | 1.03  |
+| 86.9312       | 4.8   | 600  | 76.0484         | 1.004 |
+| 62.5942       | 6.4   | 800  | 48.2334         | 1.0   |
+| 38.3278       | 8.0   | 1000 | 23.9740         | 1.0   |
+| 5.5117        | 9.6   | 1200 | 3.4634          | 1.0   |
+| 4.9465        | 11.2  | 1400 | 3.3772          | 1.0   |
+| 3.5841        | 12.8  | 1600 | 3.3593          | 1.0   |
+| 3.9731        | 14.4  | 1800 | 3.3459          | 1.0   |
+| 3.4886        | 16.0  | 2000 | 3.3371          | 1.0   |
+| 3.5821        | 17.6  | 2200 | 3.3355          | 1.0   |
+| 3.6743        | 19.2  | 2400 | 3.3327          | 1.0   |
+| 3.5593        | 20.8  | 2600 | 3.3311          | 1.0   |
+| 3.5576        | 22.4  | 2800 | 3.3288          | 1.0   |
+| 3.5099        | 24.0  | 3000 | 3.3272          | 1.0   |
+| 4.2208        | 25.6  | 3200 | 3.3270          | 1.0   |
+| 3.5336        | 27.2  | 3400 | 3.3316          | 1.0   |
+| 3.5272        | 28.8  | 3600 | 3.3289          | 1.0   |
+### Framework versions
+- Transformers 4.43.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

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