End of training

README.md

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+---
+license: apache-2.0
+base_model: openai/whisper-tiny
+tags:
+- generated_from_trainer
+datasets:
+- PolyAI/minds14
+metrics:
+- wer
+model-index:
+- name: whisper-tiny-minds14-en-us
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: PolyAI/minds14
+      type: PolyAI/minds14
+      config: en-US
+      split: train
+      args: en-US
+    metrics:
+    - name: Wer
+      type: wer
+      value: 0.35400516795865633
+---
+
+<!-- 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-minds14-en-us
+
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the PolyAI/minds14 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7195
+- Wer Ortho: 0.3560
+- Wer: 0.3540
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- 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
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
+| 1.8452        | 1.79  | 50   | 0.8160          | 0.3890    | 0.3534 |
+| 0.3172        | 3.57  | 100  | 0.5341          | 0.3573    | 0.3547 |
+| 0.1191        | 5.36  | 150  | 0.5525          | 0.3284    | 0.3217 |
+| 0.0363        | 7.14  | 200  | 0.6061          | 0.3472    | 0.3456 |
+| 0.0099        | 8.93  | 250  | 0.6240          | 0.3546    | 0.3540 |
+| 0.0036        | 10.71 | 300  | 0.6596          | 0.3560    | 0.3527 |
+| 0.0019        | 12.5  | 350  | 0.6777          | 0.3513    | 0.3508 |
+| 0.0012        | 14.29 | 400  | 0.6946          | 0.3540    | 0.3527 |
+| 0.0009        | 16.07 | 450  | 0.7079          | 0.3526    | 0.3514 |
+| 0.0007        | 17.86 | 500  | 0.7195          | 0.3560    | 0.3540 |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

generation_config.json

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+}

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