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Teamim-large-v2_WeightDecay-0.05_Augmented_Combined-Data_date-25-07-2024

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Hebrew
whisper
hf-asr-leaderboard
Generated from Trainer
Inference Endpoints
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  1. README.md +100 -0
  2. generation_config.json +316 -0
  3. model-00001-of-00002.safetensors +3 -0
  4. model-00002-of-00002.safetensors +3 -0
  5. model.safetensors.index.json +0 -0
  6. runs/Jul25_07-49-54_7986a8065aee/events.out.tfevents.1721893796.7986a8065aee.1.0 +2 -2
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: openai/whisper-large-v2
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - wer
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+ model-index:
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+ - name: Teamim-large-v2_WeightDecay-0.05_Augmented_Combined-Data_date-25-07-2024
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # Teamim-large-v2_WeightDecay-0.05_Augmented_Combined-Data_date-25-07-2024
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+
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+ This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0963
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+ - Wer: 7.5207
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+ - Avg Precision Exact: 0.9345
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+ - Avg Recall Exact: 0.9347
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+ - Avg F1 Exact: 0.9343
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+ - Avg Precision Letter Shift: 0.9448
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+ - Avg Recall Letter Shift: 0.9451
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+ - Avg F1 Letter Shift: 0.9447
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+ - Avg Precision Word Level: 0.9467
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+ - Avg Recall Word Level: 0.9470
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+ - Avg F1 Word Level: 0.9466
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+ - Avg Precision Word Shift: 0.9749
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+ - Avg Recall Word Shift: 0.9755
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+ - Avg F1 Word Shift: 0.9748
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+ - Precision Median Exact: 1.0
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+ - Recall Median Exact: 1.0
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+ - F1 Median Exact: 1.0
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+ - Precision Max Exact: 1.0
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+ - Recall Max Exact: 1.0
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+ - F1 Max Exact: 1.0
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+ - Precision Min Exact: 0.0
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+ - Recall Min Exact: 0.0
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+ - F1 Min Exact: 0.0
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+ - Precision Min Letter Shift: 0.0
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+ - Recall Min Letter Shift: 0.0
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+ - F1 Min Letter Shift: 0.0
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+ - Precision Min Word Level: 0.0
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+ - Recall Min Word Level: 0.0
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+ - F1 Min Word Level: 0.0
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+ - Precision Min Word Shift: 0.1333
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+ - Recall Min Word Shift: 0.1111
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+ - F1 Min Word Shift: 0.125
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 1e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 32
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 500
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+ - training_steps: 80000
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | 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 |
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+ |:-------------:|:------:|:-----:|:---------------:|:--------:|:-------------------:|:----------------:|:------------:|:--------------------------:|:-----------------------:|:-------------------:|:------------------------:|:---------------------:|:-----------------:|:------------------------:|:---------------------:|:-----------------:|:----------------------:|:-------------------:|:---------------:|:-------------------:|:----------------:|:------------:|:-------------------:|:----------------:|:------------:|:--------------------------:|:-----------------------:|:-------------------:|:------------------------:|:---------------------:|:-----------------:|:------------------------:|:---------------------:|:-----------------:|
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+ | No log | 0.0001 | 1 | 5.8251 | 118.7797 | 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 |
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+ | 0.0424 | 0.5167 | 10000 | 0.1027 | 13.0873 | 0.8913 | 0.8931 | 0.8917 | 0.9070 | 0.9088 | 0.9074 | 0.9103 | 0.9117 | 0.9105 | 0.9544 | 0.9564 | 0.9548 | 0.9412 | 1.0 | 0.9565 | 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 | 0.125 | 0.1333 |
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+ | 0.0139 | 1.0334 | 20000 | 0.0944 | 10.6171 | 0.9121 | 0.9101 | 0.9107 | 0.9250 | 0.9231 | 0.9236 | 0.9271 | 0.9256 | 0.9260 | 0.9644 | 0.9639 | 0.9637 | 1.0 | 1.0 | 1.0 | 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 |
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+ | 0.0085 | 1.5501 | 30000 | 0.0906 | 9.6951 | 0.9196 | 0.9190 | 0.9189 | 0.9328 | 0.9324 | 0.9322 | 0.9353 | 0.9351 | 0.9348 | 0.9679 | 0.9687 | 0.9679 | 1.0 | 1.0 | 1.0 | 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 |
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+ | 0.0038 | 2.0668 | 40000 | 0.0954 | 9.0311 | 0.9217 | 0.9201 | 0.9206 | 0.9331 | 0.9316 | 0.9320 | 0.9352 | 0.9335 | 0.9340 | 0.9696 | 0.9696 | 0.9692 | 1.0 | 1.0 | 1.0 | 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 |
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+ | 0.0033 | 2.5834 | 50000 | 0.0927 | 8.4962 | 0.9258 | 0.9256 | 0.9254 | 0.9371 | 0.9370 | 0.9367 | 0.9391 | 0.9392 | 0.9388 | 0.9718 | 0.9729 | 0.9719 | 1.0 | 1.0 | 1.0 | 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 | 0.125 | 0.1333 |
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+ | 0.0025 | 3.1001 | 60000 | 0.0928 | 7.9801 | 0.9305 | 0.9299 | 0.9298 | 0.9413 | 0.9407 | 0.9407 | 0.9435 | 0.9429 | 0.9429 | 0.9744 | 0.9747 | 0.9742 | 1.0 | 1.0 | 1.0 | 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 |
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+ | 0.0012 | 3.6168 | 70000 | 0.0960 | 7.9738 | 0.9312 | 0.9305 | 0.9306 | 0.9421 | 0.9415 | 0.9416 | 0.9441 | 0.9437 | 0.9436 | 0.9737 | 0.9739 | 0.9734 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1333 | 0.1111 | 0.125 |
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+ | 0.0002 | 4.1335 | 80000 | 0.0963 | 7.5207 | 0.9345 | 0.9347 | 0.9343 | 0.9448 | 0.9451 | 0.9447 | 0.9467 | 0.9470 | 0.9466 | 0.9749 | 0.9755 | 0.9748 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1333 | 0.1111 | 0.125 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.2
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+ - Pytorch 2.2.1
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
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