Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: openai/whisper-tiny
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: Teamim-tiny_WeightDecay-0.005_Augmented__WithSRT_date-11-04-2025
+  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_WeightDecay-0.005_Augmented__WithSRT_date-11-04-2025
+
+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: 0.9273
+- Wer: 71.8937
+- Avg Precision Exact: 0.1966
+- Avg Recall Exact: 0.2113
+- Avg F1 Exact: 0.2010
+- Avg Precision Letter Shift: 0.2269
+- Avg Recall Letter Shift: 0.2498
+- Avg F1 Letter Shift: 0.2336
+- Avg Precision Word Level: 0.2459
+- Avg Recall Word Level: 0.2741
+- Avg F1 Word Level: 0.2538
+- Avg Precision Word Shift: 0.4328
+- Avg Recall Word Shift: 0.5013
+- Avg F1 Word Shift: 0.4529
+- Precision Median Exact: 0.0638
+- Recall Median Exact: 0.0870
+- F1 Median Exact: 0.0723
+- 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: 0.0
+- Recall Min Word Shift: 0.0
+- F1 Min Word Shift: 0.0
+
+## 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: 2
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 1000
+- training_steps: 100000
+- 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 |
+|:-------------:|:-------:|:-----:|:---------------:|:-------:|:-------------------:|:----------------:|:------------:|:--------------------------:|:-----------------------:|:-------------------:|:------------------------:|:---------------------:|:-----------------:|:------------------------:|:---------------------:|:-----------------:|:----------------------:|:-------------------:|:---------------:|:-------------------:|:----------------:|:------------:|:-------------------:|:----------------:|:------------:|:--------------------------:|:-----------------------:|:-------------------:|:------------------------:|:---------------------:|:-----------------:|:------------------------:|:---------------------:|:-----------------:|
+| 0.0506        | 3.5549  | 30000 | 0.7696          | 74.5620 | 0.1888              | 0.1999           | 0.1925       | 0.2219                     | 0.2382                  | 0.2266              | 0.2426                   | 0.2636                | 0.2485            | 0.4348                   | 0.4847                | 0.4502            | 0.0714                 | 0.0854              | 0.0755          | 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               |
+| 0.0214        | 7.1098  | 60000 | 0.8339          | 70.3940 | 0.2052              | 0.2197           | 0.2098       | 0.2364                     | 0.2572                  | 0.2429              | 0.2575                   | 0.2825                | 0.2647            | 0.4499                   | 0.5098                | 0.4678            | 0.0741                 | 0.0930              | 0.08            | 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               |
+| 0.0062        | 10.6648 | 90000 | 0.9273          | 71.8937 | 0.1966              | 0.2113           | 0.2010       | 0.2269                     | 0.2498                  | 0.2336              | 0.2459                   | 0.2741                | 0.2538            | 0.4328                   | 0.5013                | 0.4529            | 0.0638                 | 0.0870              | 0.0723          | 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               |
+
+
+### Framework versions
+
+- Transformers 4.49.0
+- Pytorch 2.6.0+cu126
+- Datasets 2.12.0
+- Tokenizers 0.20.1

generation_config.json

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+}

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