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ilyes25
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ardzdirect2

Automatic Speech Recognition
Transformers
Safetensors
wav2vec2
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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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- ## Model Details
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- [More Information Needed]
 
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  ---
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  library_name: transformers
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+ license: cc-by-nc-4.0
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+ base_model: facebook/mms-1b-all
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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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+ - bleu
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+ - rouge
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+ model-index:
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+ - name: ardzdirect2
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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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+ # ardzdirect2
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+
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+ This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2790
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+ - Wer: 0.4103
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+ - Bleu: 0.3474
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+ - Rouge: {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0}
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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: 0.001
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 32
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 100
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+ - num_epochs: 40
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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 | Bleu | Rouge |
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+ |:-------------:|:-------:|:----:|:---------------:|:------:|:------:|:---------------------------------------------------------------------------------------------------------------------:|
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+ | 3.1012 | 0.8316 | 100 | 0.4876 | 0.6806 | 0.0921 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.5491 | 1.6570 | 200 | 0.4093 | 0.6217 | 0.1411 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.5057 | 2.4823 | 300 | 0.3771 | 0.6112 | 0.1300 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.4825 | 3.3077 | 400 | 0.3685 | 0.6012 | 0.1617 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.4542 | 4.1331 | 500 | 0.3629 | 0.5924 | 0.1538 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.4481 | 4.9647 | 600 | 0.3563 | 0.5766 | 0.1571 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.4405 | 5.7900 | 700 | 0.3521 | 0.5841 | 0.1523 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.417 | 6.6154 | 800 | 0.3460 | 0.5775 | 0.1802 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.4034 | 7.4407 | 900 | 0.3478 | 0.5748 | 0.1852 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.4108 | 8.2661 | 1000 | 0.3490 | 0.5529 | 0.1896 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.3858 | 9.0915 | 1100 | 0.3277 | 0.5514 | 0.1920 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.3831 | 9.9231 | 1200 | 0.3192 | 0.5474 | 0.2086 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.3793 | 10.7484 | 1300 | 0.3265 | 0.5316 | 0.2156 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.3691 | 11.5738 | 1400 | 0.3161 | 0.5341 | 0.2193 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.3629 | 12.3992 | 1500 | 0.3108 | 0.5181 | 0.2280 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.3619 | 13.2245 | 1600 | 0.3102 | 0.5214 | 0.2184 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.356 | 14.0499 | 1700 | 0.3249 | 0.5145 | 0.2345 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.3392 | 14.8815 | 1800 | 0.3409 | 0.5234 | 0.2352 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.3254 | 15.7069 | 1900 | 0.3034 | 0.5288 | 0.2279 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.3446 | 16.5322 | 2000 | 0.3273 | 0.5074 | 0.2459 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.3197 | 17.3576 | 2100 | 0.3097 | 0.5306 | 0.2287 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.3167 | 18.1830 | 2200 | 0.3042 | 0.5164 | 0.2428 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.3296 | 19.0083 | 2300 | 0.3053 | 0.5265 | 0.2271 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.3158 | 19.8399 | 2400 | 0.3004 | 0.4763 | 0.2703 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.3035 | 20.6653 | 2500 | 0.2917 | 0.4649 | 0.2836 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.3026 | 21.4906 | 2600 | 0.2993 | 0.5098 | 0.2498 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.3023 | 22.3160 | 2700 | 0.3164 | 0.4760 | 0.2700 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.2879 | 23.1414 | 2800 | 0.2825 | 0.4441 | 0.3079 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.2834 | 23.9730 | 2900 | 0.2828 | 0.4685 | 0.2866 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.2793 | 24.7983 | 3000 | 0.2938 | 0.4437 | 0.3082 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.2706 | 25.6237 | 3100 | 0.2827 | 0.4508 | 0.3054 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.2631 | 26.4491 | 3200 | 0.2871 | 0.4309 | 0.3264 | {'rouge1': 0.0010395010395010396, 'rouge2': 0.0, 'rougeL': 0.0010395010395010396, 'rougeLsum': 0.0010395010395010396} |
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+ | 0.2742 | 27.2744 | 3300 | 0.2814 | 0.4360 | 0.3181 | {'rouge1': 0.0010395010395010396, 'rouge2': 0.0, 'rougeL': 0.0010395010395010396, 'rougeLsum': 0.0010395010395010396} |
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+ | 0.2537 | 28.0998 | 3400 | 0.2923 | 0.4320 | 0.3197 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.2576 | 28.9314 | 3500 | 0.2784 | 0.4296 | 0.3238 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.2588 | 29.7568 | 3600 | 0.2830 | 0.4280 | 0.3304 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.243 | 30.5821 | 3700 | 0.2860 | 0.4254 | 0.3331 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.2504 | 31.4075 | 3800 | 0.2829 | 0.4171 | 0.3403 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.2491 | 32.2328 | 3900 | 0.2850 | 0.4194 | 0.3374 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.2432 | 33.0582 | 4000 | 0.2901 | 0.4158 | 0.3359 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.2383 | 33.8898 | 4100 | 0.2801 | 0.4171 | 0.3366 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.2314 | 34.7152 | 4200 | 0.2818 | 0.4190 | 0.3404 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.2339 | 35.5405 | 4300 | 0.2858 | 0.4146 | 0.3412 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.2314 | 36.3659 | 4400 | 0.2954 | 0.4224 | 0.3315 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.2324 | 37.1913 | 4500 | 0.2810 | 0.4119 | 0.3441 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.236 | 38.0166 | 4600 | 0.2791 | 0.4105 | 0.3462 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.2277 | 38.8482 | 4700 | 0.2799 | 0.4110 | 0.3482 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.2207 | 39.6736 | 4800 | 0.2790 | 0.4103 | 0.3474 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+
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+ ### Framework versions
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+
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+ - Transformers 4.49.0
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+ - Pytorch 2.6.0+cu124
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+ - Datasets 3.2.0
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+ - Tokenizers 0.21.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
adapter.ardz.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:1a5d07b88ea4d4cd89c621299314e527a8069e8845c0626d0f49311f93b1ce51
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+ size 8936896