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ilyes25
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ardzdirect3

Automatic Speech Recognition
Transformers
Safetensors
wav2vec2
Generated from Trainer
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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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- <!-- Provide a quick summary of what the model is/does. -->
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- ## Model Details
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- This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- ## How to Get Started with the Model
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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: ardzdirect3
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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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+ # ardzdirect3
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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: 0.3352
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+ - Wer: 0.3954
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+ - Bleu: 0.3608
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+ - Rouge: {'rouge1': 0.0010395010395010396, 'rouge2': 0.0, 'rougeL': 0.0010395010395010396, 'rougeLsum': 0.0010395010395010396}
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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: 100
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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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+ | 2.9863 | 0.8316 | 100 | 0.4937 | 0.6871 | 0.0964 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.5365 | 1.6570 | 200 | 0.4196 | 0.6320 | 0.1448 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.5121 | 2.4823 | 300 | 0.3883 | 0.6201 | 0.1222 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.4701 | 3.3077 | 400 | 0.3702 | 0.6024 | 0.1588 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.4476 | 4.1331 | 500 | 0.3821 | 0.5980 | 0.1575 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.4407 | 4.9647 | 600 | 0.3634 | 0.5930 | 0.1459 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.4344 | 5.7900 | 700 | 0.3873 | 0.6079 | 0.1450 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.4132 | 6.6154 | 800 | 0.3444 | 0.5699 | 0.1809 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.402 | 7.4407 | 900 | 0.3407 | 0.5742 | 0.1865 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.4138 | 8.2661 | 1000 | 0.3333 | 0.5716 | 0.1840 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.3756 | 9.0915 | 1100 | 0.3290 | 0.5544 | 0.1948 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.3815 | 9.9231 | 1200 | 0.3179 | 0.5565 | 0.1954 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.3803 | 10.7484 | 1300 | 0.3309 | 0.5653 | 0.2007 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.3692 | 11.5738 | 1400 | 0.3224 | 0.5293 | 0.2181 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.3515 | 12.3992 | 1500 | 0.3184 | 0.5325 | 0.2108 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.3617 | 13.2245 | 1600 | 0.3169 | 0.5265 | 0.2133 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.3612 | 14.0499 | 1700 | 0.3344 | 0.5434 | 0.2035 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.3378 | 14.8815 | 1800 | 0.3066 | 0.5181 | 0.2336 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.3293 | 15.7069 | 1900 | 0.3110 | 0.5093 | 0.2416 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.3478 | 16.5322 | 2000 | 0.3573 | 0.5310 | 0.2230 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.3226 | 17.3576 | 2100 | 0.3035 | 0.5040 | 0.2425 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.3137 | 18.1830 | 2200 | 0.3113 | 0.5234 | 0.2316 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.3266 | 19.0083 | 2300 | 0.3052 | 0.5031 | 0.2428 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.2973 | 19.8399 | 2400 | 0.3055 | 0.4865 | 0.2619 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.3039 | 20.6653 | 2500 | 0.3020 | 0.4795 | 0.2696 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.3018 | 21.4906 | 2600 | 0.3252 | 0.5102 | 0.2383 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.3025 | 22.3160 | 2700 | 0.3067 | 0.4716 | 0.2763 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.2929 | 23.1414 | 2800 | 0.3071 | 0.4781 | 0.2687 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.2885 | 23.9730 | 2900 | 0.3017 | 0.5065 | 0.2563 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.2935 | 24.7983 | 3000 | 0.3871 | 0.5154 | 0.2333 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.2939 | 25.6237 | 3100 | 0.3189 | 0.5037 | 0.2514 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.2858 | 26.4491 | 3200 | 0.3106 | 0.4642 | 0.2885 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.2926 | 27.2744 | 3300 | 0.2982 | 0.4556 | 0.2999 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.274 | 28.0998 | 3400 | 0.3088 | 0.4657 | 0.2858 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.2681 | 28.9314 | 3500 | 0.3182 | 0.4578 | 0.2948 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.2799 | 29.7568 | 3600 | 0.2925 | 0.4558 | 0.2977 | {'rouge1': 0.0010395010395010396, 'rouge2': 0.0, 'rougeL': 0.0010395010395010396, 'rougeLsum': 0.0010395010395010396} |
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+ | 0.258 | 30.5821 | 3700 | 0.3169 | 0.4549 | 0.2988 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.2634 | 31.4075 | 3800 | 0.2939 | 0.4439 | 0.3075 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.2555 | 32.2328 | 3900 | 0.2938 | 0.4578 | 0.2989 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.2577 | 33.0582 | 4000 | 0.3038 | 0.4393 | 0.3048 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.2445 | 33.8898 | 4100 | 0.2940 | 0.4483 | 0.3064 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.2436 | 34.7152 | 4200 | 0.2979 | 0.4344 | 0.3174 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.2456 | 35.5405 | 4300 | 0.2960 | 0.4340 | 0.3231 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.2364 | 36.3659 | 4400 | 0.2936 | 0.4372 | 0.3214 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.2329 | 37.1913 | 4500 | 0.3089 | 0.4410 | 0.3079 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.2425 | 38.0166 | 4600 | 0.3029 | 0.4504 | 0.3077 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.232 | 38.8482 | 4700 | 0.3002 | 0.4478 | 0.3111 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.2205 | 39.6736 | 4800 | 0.2974 | 0.4404 | 0.3163 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.2248 | 40.4990 | 4900 | 0.3078 | 0.4463 | 0.3151 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.2289 | 41.3243 | 5000 | 0.3009 | 0.4270 | 0.3323 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.216 | 42.1497 | 5100 | 0.3164 | 0.4360 | 0.3136 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.2248 | 42.9813 | 5200 | 0.3166 | 0.4440 | 0.3147 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.212 | 43.8067 | 5300 | 0.3371 | 0.4537 | 0.2978 | {'rouge1': 0.0010395010395010396, 'rouge2': 0.0, 'rougeL': 0.0010395010395010396, 'rougeLsum': 0.0010395010395010396} |
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+ | 0.2126 | 44.6320 | 5400 | 0.3061 | 0.4247 | 0.3345 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.2129 | 45.4574 | 5500 | 0.3079 | 0.4335 | 0.3195 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.2212 | 46.2827 | 5600 | 0.3065 | 0.4250 | 0.3317 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.2102 | 47.1081 | 5700 | 0.3139 | 0.4373 | 0.3201 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.209 | 47.9397 | 5800 | 0.3076 | 0.4217 | 0.3273 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.2102 | 48.7651 | 5900 | 0.3114 | 0.4269 | 0.3208 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.2018 | 49.5904 | 6000 | 0.3046 | 0.4248 | 0.3326 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.1943 | 50.4158 | 6100 | 0.3037 | 0.4179 | 0.3387 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.1993 | 51.2412 | 6200 | 0.3083 | 0.4239 | 0.3283 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.2052 | 52.0665 | 6300 | 0.3117 | 0.4236 | 0.3274 | {'rouge1': 0.0010395010395010396, 'rouge2': 0.0, 'rougeL': 0.0010395010395010396, 'rougeLsum': 0.0010395010395010396} |
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+ | 0.1949 | 52.8981 | 6400 | 0.3048 | 0.4182 | 0.3349 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.1899 | 53.7235 | 6500 | 0.3148 | 0.4175 | 0.3329 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
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+ | 0.1948 | 54.5489 | 6600 | 0.3129 | 0.4211 | 0.3357 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
127
+ | 0.1913 | 55.3742 | 6700 | 0.3148 | 0.4158 | 0.3368 | {'rouge1': 0.0010395010395010396, 'rouge2': 0.0, 'rougeL': 0.0010395010395010396, 'rougeLsum': 0.0010395010395010396} |
128
+ | 0.1913 | 56.1996 | 6800 | 0.3163 | 0.4273 | 0.3260 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
129
+ | 0.1959 | 57.0249 | 6900 | 0.3086 | 0.4143 | 0.3396 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
130
+ | 0.1847 | 57.8565 | 7000 | 0.3149 | 0.4159 | 0.3401 | {'rouge1': 0.0010395010395010396, 'rouge2': 0.0, 'rougeL': 0.0010395010395010396, 'rougeLsum': 0.0010395010395010396} |
131
+ | 0.1838 | 58.6819 | 7100 | 0.3135 | 0.4062 | 0.3484 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
132
+ | 0.1962 | 59.5073 | 7200 | 0.3168 | 0.4139 | 0.3400 | {'rouge1': 0.0010395010395010396, 'rouge2': 0.0, 'rougeL': 0.0010395010395010396, 'rougeLsum': 0.0010395010395010396} |
133
+ | 0.1788 | 60.3326 | 7300 | 0.3162 | 0.4297 | 0.3252 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
134
+ | 0.1818 | 61.1580 | 7400 | 0.3122 | 0.4043 | 0.3543 | {'rouge1': 0.0010395010395010396, 'rouge2': 0.0, 'rougeL': 0.0010395010395010396, 'rougeLsum': 0.0010395010395010396} |
135
+ | 0.1788 | 61.9896 | 7500 | 0.3162 | 0.4279 | 0.3264 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
136
+ | 0.1782 | 62.8150 | 7600 | 0.3172 | 0.4151 | 0.3442 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
137
+ | 0.1766 | 63.6403 | 7700 | 0.3188 | 0.4102 | 0.3451 | {'rouge1': 0.0010395010395010396, 'rouge2': 0.0, 'rougeL': 0.0010395010395010396, 'rougeLsum': 0.0010395010395010396} |
138
+ | 0.166 | 64.4657 | 7800 | 0.3230 | 0.4218 | 0.3361 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
139
+ | 0.1782 | 65.2911 | 7900 | 0.3219 | 0.4102 | 0.3425 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
140
+ | 0.1738 | 66.1164 | 8000 | 0.3223 | 0.4108 | 0.3450 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
141
+ | 0.171 | 66.9480 | 8100 | 0.3195 | 0.4103 | 0.3452 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
142
+ | 0.1747 | 67.7734 | 8200 | 0.3259 | 0.4150 | 0.3386 | {'rouge1': 0.0010395010395010396, 'rouge2': 0.0, 'rougeL': 0.0010395010395010396, 'rougeLsum': 0.0010395010395010396} |
143
+ | 0.1686 | 68.5988 | 8300 | 0.3273 | 0.4155 | 0.3369 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
144
+ | 0.1688 | 69.4241 | 8400 | 0.3144 | 0.4154 | 0.3376 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
145
+ | 0.1697 | 70.2495 | 8500 | 0.3222 | 0.4048 | 0.3534 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
146
+ | 0.1643 | 71.0748 | 8600 | 0.3168 | 0.4083 | 0.3477 | {'rouge1': 0.0010395010395010396, 'rouge2': 0.0, 'rougeL': 0.0010395010395010396, 'rougeLsum': 0.0010395010395010396} |
147
+ | 0.1643 | 71.9064 | 8700 | 0.3206 | 0.4073 | 0.3476 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
148
+ | 0.168 | 72.7318 | 8800 | 0.3332 | 0.4115 | 0.3437 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
149
+ | 0.1631 | 73.5572 | 8900 | 0.3298 | 0.4032 | 0.3520 | {'rouge1': 0.0010395010395010396, 'rouge2': 0.0, 'rougeL': 0.0010395010395010396, 'rougeLsum': 0.0010395010395010396} |
150
+ | 0.1598 | 74.3825 | 9000 | 0.3245 | 0.4026 | 0.3550 | {'rouge1': 0.0010395010395010396, 'rouge2': 0.0, 'rougeL': 0.0010395010395010396, 'rougeLsum': 0.0010395010395010396} |
151
+ | 0.1602 | 75.2079 | 9100 | 0.3247 | 0.4016 | 0.3502 | {'rouge1': 0.0010395010395010396, 'rouge2': 0.0, 'rougeL': 0.0010395010395010396, 'rougeLsum': 0.0010395010395010396} |
152
+ | 0.1601 | 76.0333 | 9200 | 0.3232 | 0.4010 | 0.3579 | {'rouge1': 0.0010395010395010396, 'rouge2': 0.0, 'rougeL': 0.0010395010395010396, 'rougeLsum': 0.0010395010395010396} |
153
+ | 0.1576 | 76.8649 | 9300 | 0.3231 | 0.4006 | 0.3522 | {'rouge1': 0.0010395010395010396, 'rouge2': 0.0, 'rougeL': 0.0010395010395010396, 'rougeLsum': 0.0010395010395010396} |
154
+ | 0.1563 | 77.6902 | 9400 | 0.3274 | 0.4012 | 0.3516 | {'rouge1': 0.0010395010395010396, 'rouge2': 0.0, 'rougeL': 0.0010395010395010396, 'rougeLsum': 0.0010395010395010396} |
155
+ | 0.1623 | 78.5156 | 9500 | 0.3319 | 0.4006 | 0.3555 | {'rouge1': 0.0010395010395010396, 'rouge2': 0.0, 'rougeL': 0.0010395010395010396, 'rougeLsum': 0.0010395010395010396} |
156
+ | 0.1548 | 79.3410 | 9600 | 0.3283 | 0.3961 | 0.3623 | {'rouge1': 0.0010395010395010396, 'rouge2': 0.0, 'rougeL': 0.0010395010395010396, 'rougeLsum': 0.0010395010395010396} |
157
+ | 0.1528 | 80.1663 | 9700 | 0.3269 | 0.3999 | 0.3579 | {'rouge1': 0.0010395010395010396, 'rouge2': 0.0, 'rougeL': 0.0010395010395010396, 'rougeLsum': 0.0010395010395010396} |
158
+ | 0.1623 | 80.9979 | 9800 | 0.3296 | 0.4032 | 0.3551 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
159
+ | 0.1505 | 81.8233 | 9900 | 0.3332 | 0.4076 | 0.3445 | {'rouge1': 0.0010395010395010396, 'rouge2': 0.0, 'rougeL': 0.0010395010395010396, 'rougeLsum': 0.0010395010395010396} |
160
+ | 0.151 | 82.6486 | 10000 | 0.3267 | 0.4029 | 0.3555 | {'rouge1': 0.0010395010395010396, 'rouge2': 0.0, 'rougeL': 0.0010395010395010396, 'rougeLsum': 0.0010395010395010396} |
161
+ | 0.157 | 83.4740 | 10100 | 0.3336 | 0.4029 | 0.3537 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
162
+ | 0.1555 | 84.2994 | 10200 | 0.3352 | 0.4055 | 0.3481 | {'rouge1': 0.0010395010395010396, 'rouge2': 0.0, 'rougeL': 0.0010395010395010396, 'rougeLsum': 0.0010395010395010396} |
163
+ | 0.1478 | 85.1247 | 10300 | 0.3371 | 0.4118 | 0.3425 | {'rouge1': 0.0010395010395010396, 'rouge2': 0.0, 'rougeL': 0.0010395010395010396, 'rougeLsum': 0.0010395010395010396} |
164
+ | 0.1475 | 85.9563 | 10400 | 0.3284 | 0.4050 | 0.3493 | {'rouge1': 0.0010395010395010396, 'rouge2': 0.0, 'rougeL': 0.0010395010395010396, 'rougeLsum': 0.0010395010395010396} |
165
+ | 0.1529 | 86.7817 | 10500 | 0.3322 | 0.4018 | 0.3523 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
166
+ | 0.1476 | 87.6071 | 10600 | 0.3322 | 0.4010 | 0.3545 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
167
+ | 0.1455 | 88.4324 | 10700 | 0.3350 | 0.4011 | 0.3548 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
168
+ | 0.1521 | 89.2578 | 10800 | 0.3336 | 0.3979 | 0.3581 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
169
+ | 0.1464 | 90.0832 | 10900 | 0.3367 | 0.3989 | 0.3566 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
170
+ | 0.1402 | 90.9148 | 11000 | 0.3339 | 0.3978 | 0.3585 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
171
+ | 0.1442 | 91.7401 | 11100 | 0.3358 | 0.3960 | 0.3616 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
172
+ | 0.1483 | 92.5655 | 11200 | 0.3348 | 0.3958 | 0.3635 | {'rouge1': 0.0, 'rouge2': 0.0, 'rougeL': 0.0, 'rougeLsum': 0.0} |
173
+ | 0.142 | 93.3909 | 11300 | 0.3353 | 0.3941 | 0.3645 | {'rouge1': 0.0010395010395010396, 'rouge2': 0.0, 'rougeL': 0.0010395010395010396, 'rougeLsum': 0.0010395010395010396} |
174
+ | 0.1444 | 94.2162 | 11400 | 0.3379 | 0.3950 | 0.3620 | {'rouge1': 0.0010395010395010396, 'rouge2': 0.0, 'rougeL': 0.0010395010395010396, 'rougeLsum': 0.0010395010395010396} |
175
+ | 0.1432 | 95.0416 | 11500 | 0.3357 | 0.3970 | 0.3596 | {'rouge1': 0.0010395010395010396, 'rouge2': 0.0, 'rougeL': 0.0010395010395010396, 'rougeLsum': 0.0010395010395010396} |
176
+ | 0.1439 | 95.8732 | 11600 | 0.3343 | 0.3957 | 0.3609 | {'rouge1': 0.0010395010395010396, 'rouge2': 0.0, 'rougeL': 0.0010395010395010396, 'rougeLsum': 0.0010395010395010396} |
177
+ | 0.1429 | 96.6985 | 11700 | 0.3344 | 0.3961 | 0.3596 | {'rouge1': 0.0010395010395010396, 'rouge2': 0.0, 'rougeL': 0.0010395010395010396, 'rougeLsum': 0.0010395010395010396} |
178
+ | 0.1406 | 97.5239 | 11800 | 0.3349 | 0.3949 | 0.3605 | {'rouge1': 0.0010395010395010396, 'rouge2': 0.0, 'rougeL': 0.0010395010395010396, 'rougeLsum': 0.0010395010395010396} |
179
+ | 0.1395 | 98.3493 | 11900 | 0.3350 | 0.3962 | 0.3590 | {'rouge1': 0.0010395010395010396, 'rouge2': 0.0, 'rougeL': 0.0010395010395010396, 'rougeLsum': 0.0010395010395010396} |
180
+ | 0.1428 | 99.1746 | 12000 | 0.3352 | 0.3954 | 0.3608 | {'rouge1': 0.0010395010395010396, 'rouge2': 0.0, 'rougeL': 0.0010395010395010396, 'rougeLsum': 0.0010395010395010396} |
181
+
182
+
183
+ ### Framework versions
184
+
185
+ - Transformers 4.49.0
186
+ - Pytorch 2.6.0+cu124
187
+ - Datasets 3.2.0
188
+ - Tokenizers 0.21.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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