Model save

README.md

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+---
+library_name: transformers
+license: mit
+base_model: distil-whisper/distil-large-v3.5
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: Teamim-distil-large-v3.5_WeightDecay-0.005_Augmented__WithSRT_LR-1e-05_date-10-06-2025
+  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-distil-large-v3.5_WeightDecay-0.005_Augmented__WithSRT_LR-1e-05_date-10-06-2025
+
+This model is a fine-tuned version of [distil-whisper/distil-large-v3.5](https://huggingface.co/distil-whisper/distil-large-v3.5) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7945
+- Wer: 68.9512
+- Avg Precision Exact: 0.2622
+- Avg Recall Exact: 0.2502
+- Avg F1 Exact: 0.2513
+- Avg Precision Letter Shift: 0.2922
+- Avg Recall Letter Shift: 0.2803
+- Avg F1 Letter Shift: 0.2796
+- Avg Precision Word Level: 0.3129
+- Avg Recall Word Level: 0.3458
+- Avg F1 Word Level: 0.3227
+- Avg Precision Word Shift: 0.5277
+- Avg Recall Word Shift: 0.5512
+- Avg F1 Word Shift: 0.5260
+- Precision Median Exact: 0.1429
+- Recall Median Exact: 0.1379
+- F1 Median Exact: 0.1333
+- 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: 100
+- training_steps: 10000
+- 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        | 0.0001 | 1     | 12.1921         | 169.3043 | 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                    | 0.0                 | 0.0             | 0                   | 0                | 0            | 0                   | 0                | 0            | 0                          | 0                       | 0                   | 0                        | 0                     | 0                 | 0                        | 0                     | 0                 |
+| 0.096         | 0.5925 | 5000  | 0.9503          | 76.8918  | 0.1974              | 0.2042           | 0.1981       | 0.2302                     | 0.2405                  | 0.2312              | 0.2519                   | 0.2806                | 0.2607            | 0.4684                   | 0.5193                | 0.4828            | 0.1071                 | 0.1111              | 0.1053          | 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               |
+| 0.0614        | 1.1850 | 10000 | 0.7945          | 68.9512  | 0.2622              | 0.2502           | 0.2513       | 0.2922                     | 0.2803                  | 0.2796              | 0.3129                   | 0.3458                | 0.3227            | 0.5277                   | 0.5512                | 0.5260            | 0.1429                 | 0.1379              | 0.1333          | 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 2.7.0+cu126
+- Datasets 2.12.0
+- Tokenizers 0.20.1

generation_config.json

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+}