Model save

README.md

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+---
+license: apache-2.0
+base_model: openai/whisper-tiny
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: Teamim-tiny_Random-True_DropOut-0.1_WeightDecay-1e-06_Augmented_date-27-06-2024_09-48-25
+  results: []
+---
+
+<!-- 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. -->
+
+# Teamim-tiny_Random-True_DropOut-0.1_WeightDecay-1e-06_Augmented_date-27-06-2024_09-48-25
+
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1635
+- Wer: 15.8869
+- Avg Precision Exact: 0.8555
+- Avg Recall Exact: 0.8550
+- Avg F1 Exact: 0.8548
+- Avg Precision Letter Shift: 0.8805
+- Avg Recall Letter Shift: 0.8801
+- Avg F1 Letter Shift: 0.8799
+- Avg Precision Word Level: 0.8850
+- Avg Recall Word Level: 0.8845
+- Avg F1 Word Level: 0.8842
+- Avg Precision Word Shift: 0.9658
+- Avg Recall Word Shift: 0.9665
+- Avg F1 Word Shift: 0.9656
+- Precision Median Exact: 0.9333
+- Recall Median Exact: 0.9333
+- F1 Median Exact: 0.9375
+- Precision Max Exact: 1.0
+- Recall Max Exact: 1.0
+- F1 Max Exact: 1.0
+- Precision Min Exact: 0.0
+- Recall Min Exact: 0.0
+- F1 Min Exact: 0.0
+- Precision Min Letter Shift: 0.0
+- Recall Min Letter Shift: 0.0
+- F1 Min Letter Shift: 0.0
+- Precision Min Word Level: 0.0
+- Recall Min Word Level: 0.0
+- F1 Min Word Level: 0.0
+- Precision Min Word Shift: 0.1429
+- Recall Min Word Shift: 0.1111
+- F1 Min Word Shift: 0.125
+
+## 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: 0.0001
+- train_batch_size: 8
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 50
+- training_steps: 20000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Wer      | Avg Precision Exact | Avg Recall Exact | Avg F1 Exact | Avg Precision Letter Shift | Avg Recall Letter Shift | Avg F1 Letter Shift | Avg Precision Word Level | Avg Recall Word Level | Avg F1 Word Level | Avg Precision Word Shift | Avg Recall Word Shift | Avg F1 Word Shift | Precision Median Exact | Recall Median Exact | F1 Median Exact | Precision Max Exact | Recall Max Exact | F1 Max Exact | Precision Min Exact | Recall Min Exact | F1 Min Exact | Precision Min Letter Shift | Recall Min Letter Shift | F1 Min Letter Shift | Precision Min Word Level | Recall Min Word Level | F1 Min Word Level | Precision Min Word Shift | Recall Min Word Shift | F1 Min Word Shift |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:-------------------:|:----------------:|:------------:|:--------------------------:|:-----------------------:|:-------------------:|:------------------------:|:---------------------:|:-----------------:|:------------------------:|:---------------------:|:-----------------:|:----------------------:|:-------------------:|:---------------:|:-------------------:|:----------------:|:------------:|:-------------------:|:----------------:|:------------:|:--------------------------:|:-----------------------:|:-------------------:|:------------------------:|:---------------------:|:-----------------:|:------------------------:|:---------------------:|:-----------------:|
+| No log        | 8e-05 | 1     | 8.6830          | 101.5891 | 0.0009              | 0.0016           | 0.0010       | 0.0100                     | 0.0077                  | 0.0077              | 0.0054                   | 0.0173                | 0.0076            | 0.0465                   | 0.0380                | 0.0371            | 0.0                    | 0.0                 | 0.0             | 0.125               | 0.3333           | 0.1667       | 0.0                 | 0.0              | 0.0          | 0.0                        | 0.0                     | 0.0                 | 0.0                      | 0.0                   | 0.0               | 0.0                      | 0.0                   | 0.0               |
+| 0.0958        | 0.32  | 4000  | 0.1924          | 25.9534  | 0.7565              | 0.7583           | 0.7566       | 0.7917                     | 0.7936                  | 0.7919              | 0.7983                   | 0.8005                | 0.7986            | 0.9281                   | 0.9324                | 0.9293            | 0.8571                 | 0.8571              | 0.8571          | 1.0                 | 1.0              | 1.0          | 0.0                 | 0.0              | 0.0          | 0.0                        | 0.0                     | 0.0                 | 0.0                      | 0.0                   | 0.0               | 0.0                      | 0.0                   | 0.0               |
+| 0.0539        | 0.64  | 8000  | 0.1813          | 21.8625  | 0.7983              | 0.7994           | 0.7983       | 0.8279                     | 0.8291                  | 0.8279              | 0.8342                   | 0.8359                | 0.8344            | 0.9437                   | 0.9468                | 0.9445            | 0.9091                 | 0.9091              | 0.9032          | 1.0                 | 1.0              | 1.0          | 0.0                 | 0.0              | 0.0          | 0.0                        | 0.0                     | 0.0                 | 0.0                      | 0.0                   | 0.0               | 0.1429                   | 0.1111                | 0.125             |
+| 0.0353        | 0.96  | 12000 | 0.1755          | 19.0909  | 0.8271              | 0.8284           | 0.8273       | 0.8558                     | 0.8572                  | 0.8560              | 0.8610                   | 0.8624                | 0.8611            | 0.9537                   | 0.9561                | 0.9542            | 0.9167                 | 0.9167              | 0.9231          | 1.0                 | 1.0              | 1.0          | 0.0                 | 0.0              | 0.0          | 0.0                        | 0.0                     | 0.0                 | 0.0                      | 0.0                   | 0.0               | 0.1429                   | 0.1111                | 0.125             |
+| 0.0197        | 1.28  | 16000 | 0.1664          | 17.0288  | 0.8452              | 0.8444           | 0.8444       | 0.8711                     | 0.8705                  | 0.8703              | 0.8762                   | 0.8756                | 0.8754            | 0.9609                   | 0.9625                | 0.9610            | 0.9286                 | 0.9286              | 0.9286          | 1.0                 | 1.0              | 1.0          | 0.0                 | 0.0              | 0.0          | 0.0                        | 0.0                     | 0.0                 | 0.0                      | 0.0                   | 0.0               | 0.1429                   | 0.1111                | 0.125             |
+| 0.0088        | 1.6   | 20000 | 0.1635          | 15.8869  | 0.8555              | 0.8550           | 0.8548       | 0.8805                     | 0.8801                  | 0.8799              | 0.8850                   | 0.8845                | 0.8842            | 0.9658                   | 0.9665                | 0.9656            | 0.9333                 | 0.9333              | 0.9375          | 1.0                 | 1.0              | 1.0          | 0.0                 | 0.0              | 0.0          | 0.0                        | 0.0                     | 0.0                 | 0.0                      | 0.0                   | 0.0               | 0.1429                   | 0.1111                | 0.125             |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.2.1
+- Datasets 2.20.0
+- Tokenizers 0.19.1

generation_config.json

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