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  ---
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- library_name: transformers
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- tags: []
 
 
 
 
 
 
 
 
 
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  ---
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- # Model Card for Model ID
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-
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- <!-- Provide a quick summary of what the model is/does. -->
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- ## Model Details
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- ## How to Get Started with the Model
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- - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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- #### Speeds, Sizes, Times [optional]
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- ## Evaluation
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- ## Technical Specifications [optional]
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-
 
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  ---
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+ language:
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+ - nl
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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: Whisper Large V2
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+ results: []
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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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+ # Whisper Large V2
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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: 0.2535
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+ - Wer: 8.9988
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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: 3e-05
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+ - train_batch_size: 12
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+ - eval_batch_size: 8
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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: 20
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+ - num_epochs: 5
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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 |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|
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+ | 0.6185 | 0.09 | 30 | 0.3181 | 12.1555 |
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+ | 0.3243 | 0.19 | 60 | 0.2801 | 11.9994 |
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+ | 0.3044 | 0.28 | 90 | 0.2689 | 11.9876 |
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+ | 0.2843 | 0.38 | 120 | 0.2574 | 10.4270 |
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+ | 0.2859 | 0.47 | 150 | 0.2427 | 12.1879 |
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+ | 0.271 | 0.57 | 180 | 0.2374 | 14.0459 |
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+ | 0.2584 | 0.66 | 210 | 0.2319 | 11.1690 |
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+ | 0.2916 | 0.76 | 240 | 0.2302 | 13.6013 |
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+ | 0.2781 | 0.85 | 270 | 0.2224 | 10.6832 |
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+ | 0.2498 | 0.95 | 300 | 0.2244 | 10.2945 |
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+ | 0.2033 | 1.04 | 330 | 0.2311 | 11.3045 |
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+ | 0.1323 | 1.14 | 360 | 0.2268 | 10.9393 |
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+ | 0.1322 | 1.23 | 390 | 0.2242 | 9.9912 |
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+ | 0.1312 | 1.33 | 420 | 0.2267 | 14.3993 |
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+ | 0.1392 | 1.42 | 450 | 0.2209 | 9.9352 |
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+ | 0.1437 | 1.52 | 480 | 0.2146 | 10.0824 |
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+ | 0.1299 | 1.61 | 510 | 0.2198 | 16.3516 |
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+ | 0.1328 | 1.71 | 540 | 0.2161 | 10.0118 |
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+ | 0.1425 | 1.8 | 570 | 0.2133 | 11.3280 |
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+ | 0.1332 | 1.9 | 600 | 0.2137 | 10.4476 |
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+ | 0.1354 | 1.99 | 630 | 0.2101 | 10.0324 |
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+ | 0.0601 | 2.09 | 660 | 0.2241 | 9.2285 |
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+ | 0.0557 | 2.18 | 690 | 0.2235 | 9.0548 |
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+ | 0.0567 | 2.28 | 720 | 0.2239 | 9.5259 |
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+ | 0.0583 | 2.37 | 750 | 0.2246 | 11.3575 |
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+ | 0.0642 | 2.47 | 780 | 0.2241 | 9.7556 |
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+ | 0.059 | 2.56 | 810 | 0.2256 | 10.1266 |
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+ | 0.0596 | 2.66 | 840 | 0.2228 | 9.5318 |
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+ | 0.0571 | 2.75 | 870 | 0.2206 | 12.1290 |
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+ | 0.0581 | 2.85 | 900 | 0.2222 | 10.4240 |
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+ | 0.063 | 2.94 | 930 | 0.2229 | 9.3551 |
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+ | 0.0428 | 3.04 | 960 | 0.2313 | 9.8557 |
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+ | 0.0237 | 3.13 | 990 | 0.2337 | 9.7261 |
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+ | 0.0228 | 3.23 | 1020 | 0.2380 | 9.3433 |
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+ | 0.022 | 3.32 | 1050 | 0.2403 | 9.6849 |
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+ | 0.0235 | 3.42 | 1080 | 0.2342 | 9.5878 |
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+ | 0.0206 | 3.51 | 1110 | 0.2341 | 9.0371 |
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+ | 0.0205 | 3.61 | 1140 | 0.2391 | 9.2668 |
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+ | 0.022 | 3.7 | 1170 | 0.2336 | 9.6496 |
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+ | 0.0201 | 3.8 | 1200 | 0.2363 | 9.4876 |
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+ | 0.0213 | 3.89 | 1230 | 0.2303 | 9.5819 |
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+ | 0.0206 | 3.99 | 1260 | 0.2348 | 9.4670 |
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+ | 0.0098 | 4.08 | 1290 | 0.2450 | 9.4729 |
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+ | 0.0088 | 4.18 | 1320 | 0.2497 | 9.1461 |
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+ | 0.0076 | 4.27 | 1350 | 0.2497 | 9.2815 |
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+ | 0.0086 | 4.37 | 1380 | 0.2509 | 9.0901 |
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+ | 0.0064 | 4.46 | 1410 | 0.2524 | 8.9164 |
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+ | 0.0075 | 4.56 | 1440 | 0.2539 | 8.9340 |
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+ | 0.0069 | 4.65 | 1470 | 0.2532 | 8.9870 |
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+ | 0.0083 | 4.75 | 1500 | 0.2529 | 9.0135 |
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+ | 0.0064 | 4.84 | 1530 | 0.2536 | 8.9605 |
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+ | 0.0065 | 4.94 | 1560 | 0.2535 | 8.9988 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.38.0.dev0
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.17.0
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+ - Tokenizers 0.15.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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