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.gitignore

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+checkpoint-*/

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: michaelsh/whisper-tiny-minds-v5-numproc1
+  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: 0.36609955891619406
+---
+
+<!-- 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. -->
+
+# michaelsh/whisper-tiny-minds-v5-numproc1
+
+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: 0.6160
+- Wer Ortho: 0.3635
+- Wer: 0.3661
+
+## 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_ratio: 0.1
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
+| 3.1128        | 1.0   | 29   | 1.5110          | 0.8028    | 0.7574 |
+| 0.6583        | 2.0   | 58   | 0.5695          | 0.4347    | 0.4316 |
+| 0.3271        | 3.0   | 87   | 0.5171          | 0.3945    | 0.3913 |
+| 0.2003        | 4.0   | 116  | 0.5165          | 0.3912    | 0.3907 |
+| 0.1189        | 5.0   | 145  | 0.5296          | 0.3819    | 0.3825 |
+| 0.0623        | 6.0   | 174  | 0.5532          | 0.3747    | 0.3737 |
+| 0.0326        | 7.0   | 203  | 0.5614          | 0.3865    | 0.3882 |
+| 0.0149        | 8.0   | 232  | 0.6009          | 0.3628    | 0.3655 |
+| 0.0093        | 9.0   | 261  | 0.6024          | 0.3707    | 0.3762 |
+| 0.0038        | 10.0  | 290  | 0.6160          | 0.3635    | 0.3661 |
+
+
+### Framework versions
+
+- Transformers 4.32.0.dev0
+- Pytorch 2.0.0
+- Datasets 2.1.0
+- Tokenizers 0.13.3

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