End of training

README.md

@@ -0,0 +1,87 @@
+---
+language:
+- dv
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_13_0
+metrics:
+- wer
+model-index:
+- name: dysarthria_emo_enhancer_0_0
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: custom_torgo_0_0
+      type: mozilla-foundation/common_voice_13_0
+    metrics:
+    - name: Wer
+      type: wer
+      value: 33.51724137931035
+---
+
+<!-- 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. -->
+
+# dysarthria_emo_enhancer_0_0
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the custom_torgo_0_0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5371
+- Wer Ortho: 50.5634
+- Wer: 33.5172
+
+## 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: 8
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: constant_with_warmup
+- lr_scheduler_warmup_steps: 50
+- training_steps: 500
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
+| 3.4478        | 0.35  | 50   | 3.6845          | 67.3239   | 50.4828 |
+| 2.3364        | 0.7   | 100  | 2.4193          | 60.5634   | 44.0    |
+| 0.2024        | 1.05  | 150  | 0.7172          | 56.4789   | 36.6897 |
+| 0.3609        | 1.39  | 200  | 0.5792          | 54.9296   | 36.8276 |
+| 0.2227        | 1.74  | 250  | 0.5763          | 53.9437   | 35.4483 |
+| 0.0752        | 2.09  | 300  | 0.5516          | 53.6620   | 34.8966 |
+| 0.0249        | 2.44  | 350  | 0.5511          | 46.7606   | 29.5172 |
+| 0.17          | 2.79  | 400  | 0.5289          | 50.4225   | 31.8621 |
+| 0.0736        | 3.14  | 450  | 0.5618          | 51.5493   | 32.5517 |
+| 0.0375        | 3.48  | 500  | 0.5371          | 50.5634   | 33.5172 |
+
+
+### Framework versions
+
+- Transformers 4.34.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.14.1

generation_config.json

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+}