End of training

README.md

@@ -0,0 +1,110 @@
+---
+language:
+- en
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- generated_from_trainer
+datasets:
+- St4n/new-2
+metrics:
+- wer
+model-index:
+- name: Whisper Small En - Stan
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: new-2
+      type: St4n/new-2
+      config: default
+      split: None
+      args: 'config: en, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 8.513708513708513
+---
+
+<!-- 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 Small En - Stan
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the new-2 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1269
+- Wer: 8.5137
+
+## 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: 8
+- 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: linear
+- lr_scheduler_warmup_steps: 200
+- training_steps: 6000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer    |
+|:-------------:|:------:|:----:|:---------------:|:------:|
+| 0.0026        | 30.77  | 200  | 0.0885          | 3.0303 |
+| 0.0001        | 61.54  | 400  | 0.1035          | 8.8023 |
+| 0.0           | 92.31  | 600  | 0.1082          | 8.8023 |
+| 0.0           | 123.08 | 800  | 0.1111          | 8.5137 |
+| 0.0           | 153.85 | 1000 | 0.1128          | 8.5137 |
+| 0.0           | 184.62 | 1200 | 0.1143          | 8.5137 |
+| 0.0           | 215.38 | 1400 | 0.1153          | 8.5137 |
+| 0.0           | 246.15 | 1600 | 0.1162          | 8.5137 |
+| 0.0           | 276.92 | 1800 | 0.1169          | 8.5137 |
+| 0.0           | 307.69 | 2000 | 0.1176          | 8.5137 |
+| 0.0           | 338.46 | 2200 | 0.1196          | 8.5137 |
+| 0.0           | 369.23 | 2400 | 0.1211          | 8.5137 |
+| 0.0           | 400.0  | 2600 | 0.1217          | 8.5137 |
+| 0.0           | 430.77 | 2800 | 0.1221          | 8.5137 |
+| 0.0           | 461.54 | 3000 | 0.1224          | 8.5137 |
+| 0.0           | 492.31 | 3200 | 0.1225          | 8.5137 |
+| 0.0           | 523.08 | 3400 | 0.1227          | 8.5137 |
+| 0.0           | 553.85 | 3600 | 0.1228          | 8.5137 |
+| 0.0           | 584.62 | 3800 | 0.1229          | 8.5137 |
+| 0.0           | 615.38 | 4000 | 0.1230          | 8.5137 |
+| 0.0           | 646.15 | 4200 | 0.1253          | 8.5137 |
+| 0.0           | 676.92 | 4400 | 0.1263          | 8.5137 |
+| 0.0           | 707.69 | 4600 | 0.1265          | 8.5137 |
+| 0.0           | 738.46 | 4800 | 0.1267          | 8.5137 |
+| 0.0           | 769.23 | 5000 | 0.1266          | 8.5137 |
+| 0.0           | 800.0  | 5200 | 0.1267          | 8.5137 |
+| 0.0           | 830.77 | 5400 | 0.1267          | 8.5137 |
+| 0.0           | 861.54 | 5600 | 0.1269          | 8.5137 |
+| 0.0           | 892.31 | 5800 | 0.1269          | 8.5137 |
+| 0.0           | 923.08 | 6000 | 0.1269          | 8.5137 |
+
+
+### Framework versions
+
+- Transformers 4.39.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

generation_config.json

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+}

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