End of training

README.md

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+---
+language:
+- en
+license: apache-2.0
+base_model: openai/whisper-tiny
+tags:
+- generated_from_trainer
+datasets:
+- PolyAI/minds14
+metrics:
+- wer
+model-index:
+- name: Whisper tiny
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: minds14
+      type: PolyAI/minds14
+      config: en-US
+      split: train
+      args: en-US
+    metrics:
+    - name: Wer
+      type: wer
+      value: 32.88075560802833
+---
+
+<!-- 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 tiny
+
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the minds14 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6734
+- Wer Ortho: 32.6959
+- Wer: 32.8808
+
+## 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: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: constant_with_warmup
+- lr_scheduler_warmup_steps: 8
+- training_steps: 225
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
+| 2.8035        | 0.25  | 14   | 0.7206          | 42.1345   | 40.4368 |
+| 0.5469        | 0.5   | 28   | 0.5327          | 36.0888   | 36.3046 |
+| 0.4968        | 0.75  | 42   | 0.5195          | 34.7933   | 34.7107 |
+| 0.5012        | 1.0   | 56   | 0.5551          | 33.5595   | 33.7072 |
+| 0.1879        | 1.25  | 70   | 0.5353          | 31.5854   | 31.4640 |
+| 0.239         | 1.5   | 84   | 0.5303          | 37.4460   | 40.6139 |
+| 0.2082        | 1.75  | 98   | 0.5565          | 31.0302   | 31.2279 |
+| 0.2244        | 2.0   | 112  | 0.5540          | 28.5626   | 28.6305 |
+| 0.0679        | 2.25  | 126  | 0.5759          | 28.5009   | 28.6305 |
+| 0.0637        | 2.5   | 140  | 0.6192          | 50.7094   | 54.0732 |
+| 0.072         | 2.75  | 154  | 0.6093          | 31.2770   | 30.9327 |
+| 0.0506        | 3.0   | 168  | 0.6302          | 35.2869   | 35.5372 |
+| 0.029         | 3.25  | 182  | 0.6299          | 33.4978   | 33.5891 |
+| 0.0405        | 3.5   | 196  | 0.6159          | 30.1049   | 30.4014 |
+| 0.022         | 3.75  | 210  | 0.6441          | 30.7218   | 30.9917 |
+| 0.0332        | 4.0   | 224  | 0.6734          | 32.6959   | 32.8808 |
+
+
+### Framework versions
+
+- Transformers 4.40.2
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

generation_config.json

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+}

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