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anderloh
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TestV3

Audio Classification
Transformers
PyTorch
TensorBoard
wav2vec2
Generated from Trainer
Model card Files
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README.md ADDED
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+ ---
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+ base_model: anderloh/Hugginhface-master-wav2vec-pretreined-5-class-train-test
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: TestV3
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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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+ # TestV3
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+
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+ This model is a fine-tuned version of [anderloh/Hugginhface-master-wav2vec-pretreined-5-class-train-test](https://huggingface.co/anderloh/Hugginhface-master-wav2vec-pretreined-5-class-train-test) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.9442
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+ - Accuracy: 0.6678
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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: 128
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+ - eval_batch_size: 128
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+ - seed: 0
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 512
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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_ratio: 0.1
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+ - num_epochs: 350.0
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:------:|:----:|:---------------:|:--------:|
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+ | No log | 0.92 | 3 | 1.6026 | 0.1608 |
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+ | No log | 1.85 | 6 | 1.6024 | 0.1608 |
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+ | No log | 2.77 | 9 | 1.6022 | 0.1608 |
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+ | No log | 4.0 | 13 | 1.6018 | 0.1608 |
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+ | No log | 4.92 | 16 | 1.6013 | 0.1608 |
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+ | No log | 5.85 | 19 | 1.6008 | 0.1608 |
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+ | No log | 6.77 | 22 | 1.6001 | 0.1608 |
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+ | No log | 8.0 | 26 | 1.5991 | 0.1608 |
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+ | No log | 8.92 | 29 | 1.5982 | 0.1643 |
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+ | No log | 9.85 | 32 | 1.5973 | 0.1853 |
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+ | No log | 10.77 | 35 | 1.5963 | 0.1888 |
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+ | No log | 12.0 | 39 | 1.5947 | 0.2168 |
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+ | No log | 12.92 | 42 | 1.5935 | 0.2308 |
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+ | No log | 13.85 | 45 | 1.5921 | 0.2308 |
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+ | No log | 14.77 | 48 | 1.5907 | 0.2483 |
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+ | 1.5896 | 16.0 | 52 | 1.5887 | 0.2797 |
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+ | 1.5896 | 16.92 | 55 | 1.5872 | 0.2937 |
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+ | 1.5896 | 17.85 | 58 | 1.5856 | 0.3042 |
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+ | 1.5896 | 18.77 | 61 | 1.5839 | 0.3357 |
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+ | 1.5896 | 20.0 | 65 | 1.5815 | 0.3706 |
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+ | 1.5896 | 20.92 | 68 | 1.5795 | 0.3811 |
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+ | 1.5896 | 21.85 | 71 | 1.5774 | 0.3776 |
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+ | 1.5896 | 22.77 | 74 | 1.5753 | 0.3601 |
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+ | 1.5896 | 24.0 | 78 | 1.5723 | 0.3531 |
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+ | 1.5896 | 24.92 | 81 | 1.5699 | 0.3392 |
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+ | 1.5896 | 25.85 | 84 | 1.5675 | 0.3287 |
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+ | 1.5896 | 26.77 | 87 | 1.5649 | 0.3217 |
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+ | 1.5896 | 28.0 | 91 | 1.5612 | 0.3147 |
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+ | 1.5896 | 28.92 | 94 | 1.5583 | 0.3112 |
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+ | 1.5896 | 29.85 | 97 | 1.5553 | 0.3077 |
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+ | 1.5478 | 30.77 | 100 | 1.5522 | 0.3112 |
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+ | 1.5478 | 32.0 | 104 | 1.5478 | 0.3007 |
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+ | 1.5478 | 32.92 | 107 | 1.5445 | 0.2937 |
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+ | 1.5478 | 33.85 | 110 | 1.5413 | 0.2867 |
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+ | 1.5478 | 34.77 | 113 | 1.5383 | 0.2762 |
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+ | 1.5478 | 36.0 | 117 | 1.5340 | 0.2762 |
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+ | 1.5478 | 36.92 | 120 | 1.5311 | 0.2657 |
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+ | 1.5478 | 37.85 | 123 | 1.5282 | 0.2517 |
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+ | 1.5478 | 38.77 | 126 | 1.5255 | 0.2448 |
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+ | 1.5478 | 40.0 | 130 | 1.5224 | 0.2413 |
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+ | 1.5478 | 40.92 | 133 | 1.5204 | 0.2343 |
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+ | 1.5478 | 41.85 | 136 | 1.5191 | 0.2448 |
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+ | 1.5478 | 42.77 | 139 | 1.5184 | 0.2378 |
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+ | 1.5478 | 44.0 | 143 | 1.5181 | 0.2308 |
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+ | 1.5478 | 44.92 | 146 | 1.5189 | 0.2308 |
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+ | 1.5478 | 45.85 | 149 | 1.5199 | 0.2378 |
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+ | 1.4365 | 46.77 | 152 | 1.5215 | 0.2483 |
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+ | 1.4365 | 48.0 | 156 | 1.5236 | 0.2587 |
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+ | 1.4365 | 48.92 | 159 | 1.5251 | 0.2657 |
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+ | 1.4365 | 49.85 | 162 | 1.5259 | 0.2832 |
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+ | 1.4365 | 50.77 | 165 | 1.5262 | 0.2797 |
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+ | 1.4365 | 52.0 | 169 | 1.5249 | 0.2937 |
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+ | 1.4365 | 52.92 | 172 | 1.5227 | 0.3007 |
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+ | 1.4365 | 53.85 | 175 | 1.5190 | 0.3077 |
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+ | 1.4365 | 54.77 | 178 | 1.5138 | 0.3217 |
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+ | 1.4365 | 56.0 | 182 | 1.5053 | 0.3497 |
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+ | 1.4365 | 56.92 | 185 | 1.4977 | 0.3601 |
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+ | 1.4365 | 57.85 | 188 | 1.4910 | 0.3601 |
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+ | 1.4365 | 58.77 | 191 | 1.4840 | 0.3671 |
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+ | 1.4365 | 60.0 | 195 | 1.4755 | 0.3706 |
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+ | 1.4365 | 60.92 | 198 | 1.4684 | 0.3811 |
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+ | 1.2845 | 61.85 | 201 | 1.4627 | 0.3846 |
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+ | 1.2845 | 62.77 | 204 | 1.4547 | 0.3881 |
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+ | 1.2845 | 64.0 | 208 | 1.4456 | 0.4021 |
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+ | 1.2845 | 64.92 | 211 | 1.4385 | 0.4056 |
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+ | 1.2845 | 65.85 | 214 | 1.4316 | 0.4091 |
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+ | 1.2845 | 66.77 | 217 | 1.4232 | 0.4161 |
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+ | 1.2845 | 68.0 | 221 | 1.4133 | 0.4266 |
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+ | 1.2845 | 68.92 | 224 | 1.4062 | 0.4301 |
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+ | 1.2845 | 69.85 | 227 | 1.4003 | 0.4336 |
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+ | 1.2845 | 70.77 | 230 | 1.3963 | 0.4336 |
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+ | 1.2845 | 72.0 | 234 | 1.3880 | 0.4336 |
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+ | 1.2845 | 72.92 | 237 | 1.3801 | 0.4371 |
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+ | 1.2845 | 73.85 | 240 | 1.3725 | 0.4406 |
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+ | 1.2845 | 74.77 | 243 | 1.3655 | 0.4476 |
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+ | 1.2845 | 76.0 | 247 | 1.3561 | 0.4510 |
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+ | 1.1752 | 76.92 | 250 | 1.3477 | 0.4545 |
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+ | 1.1752 | 77.85 | 253 | 1.3386 | 0.4545 |
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+ | 1.1752 | 78.77 | 256 | 1.3300 | 0.4545 |
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+ | 1.1752 | 80.0 | 260 | 1.3187 | 0.4615 |
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+ | 1.1752 | 80.92 | 263 | 1.3102 | 0.4720 |
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+ | 1.1752 | 81.85 | 266 | 1.3016 | 0.4755 |
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+ | 1.1752 | 82.77 | 269 | 1.2916 | 0.4825 |
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+ | 1.1752 | 84.0 | 273 | 1.2802 | 0.4825 |
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+ | 1.1752 | 84.92 | 276 | 1.2718 | 0.4860 |
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+ | 1.1752 | 85.85 | 279 | 1.2626 | 0.4895 |
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+ | 1.1752 | 86.77 | 282 | 1.2544 | 0.4930 |
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+ | 1.1752 | 88.0 | 286 | 1.2429 | 0.4930 |
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+ | 1.1752 | 88.92 | 289 | 1.2338 | 0.4965 |
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+ | 1.1752 | 89.85 | 292 | 1.2237 | 0.5035 |
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+ | 1.1752 | 90.77 | 295 | 1.2134 | 0.5140 |
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+ | 1.1752 | 92.0 | 299 | 1.1997 | 0.5315 |
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+ | 1.0336 | 92.92 | 302 | 1.1894 | 0.5350 |
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+ | 1.0336 | 93.85 | 305 | 1.1795 | 0.5524 |
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+ | 1.0336 | 94.77 | 308 | 1.1704 | 0.5629 |
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+ | 1.0336 | 96.0 | 312 | 1.1574 | 0.5629 |
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+ | 1.0336 | 96.92 | 315 | 1.1478 | 0.5804 |
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+ | 1.0336 | 97.85 | 318 | 1.1388 | 0.5839 |
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+ | 1.0336 | 98.77 | 321 | 1.1300 | 0.5874 |
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+ | 1.0336 | 100.0 | 325 | 1.1172 | 0.5944 |
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+ | 1.0336 | 100.92 | 328 | 1.1090 | 0.5979 |
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+ | 1.0336 | 101.85 | 331 | 1.1001 | 0.5944 |
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+ | 1.0336 | 102.77 | 334 | 1.0910 | 0.6049 |
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+ | 1.0336 | 104.0 | 338 | 1.0769 | 0.6014 |
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+ | 1.0336 | 104.92 | 341 | 1.0675 | 0.6049 |
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+ | 1.0336 | 105.85 | 344 | 1.0602 | 0.6119 |
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+ | 1.0336 | 106.77 | 347 | 1.0537 | 0.6154 |
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+ | 0.8927 | 108.0 | 351 | 1.0456 | 0.6224 |
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+ | 0.8927 | 108.92 | 354 | 1.0394 | 0.6294 |
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+ | 0.8927 | 109.85 | 357 | 1.0331 | 0.6259 |
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+ | 0.8927 | 110.77 | 360 | 1.0267 | 0.6259 |
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+ | 0.8927 | 112.0 | 364 | 1.0193 | 0.6329 |
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+ | 0.8927 | 112.92 | 367 | 1.0149 | 0.6364 |
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+ | 0.8927 | 113.85 | 370 | 1.0100 | 0.6364 |
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+ | 0.8927 | 114.77 | 373 | 1.0047 | 0.6399 |
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+ | 0.8927 | 116.0 | 377 | 0.9991 | 0.6399 |
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+ | 0.8927 | 116.92 | 380 | 0.9973 | 0.6434 |
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+ | 0.8927 | 117.85 | 383 | 0.9936 | 0.6434 |
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+ | 0.8927 | 118.77 | 386 | 0.9909 | 0.6434 |
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+ | 0.8927 | 120.0 | 390 | 0.9878 | 0.6434 |
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+ | 0.8927 | 120.92 | 393 | 0.9841 | 0.6469 |
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+ | 0.8927 | 121.85 | 396 | 0.9810 | 0.6469 |
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+ | 0.8927 | 122.77 | 399 | 0.9769 | 0.6503 |
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+ | 0.7859 | 124.0 | 403 | 0.9750 | 0.6538 |
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+ | 0.7859 | 124.92 | 406 | 0.9752 | 0.6538 |
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+ | 0.7859 | 125.85 | 409 | 0.9752 | 0.6469 |
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+ | 0.7859 | 126.77 | 412 | 0.9739 | 0.6469 |
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+ | 0.7859 | 128.0 | 416 | 0.9697 | 0.6434 |
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+ | 0.7859 | 128.92 | 419 | 0.9673 | 0.6469 |
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+ | 0.7859 | 129.85 | 422 | 0.9655 | 0.6469 |
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+ | 0.7859 | 130.77 | 425 | 0.9649 | 0.6469 |
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+ | 0.7859 | 132.0 | 429 | 0.9624 | 0.6503 |
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+ | 0.7859 | 132.92 | 432 | 0.9609 | 0.6503 |
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+ | 0.7859 | 133.85 | 435 | 0.9589 | 0.6469 |
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+ | 0.7859 | 134.77 | 438 | 0.9577 | 0.6469 |
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+ | 0.7859 | 136.0 | 442 | 0.9576 | 0.6503 |
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+ | 0.7859 | 136.92 | 445 | 0.9588 | 0.6469 |
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+ | 0.7859 | 137.85 | 448 | 0.9580 | 0.6503 |
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+ | 0.7428 | 138.77 | 451 | 0.9573 | 0.6469 |
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+ | 0.7428 | 140.0 | 455 | 0.9572 | 0.6469 |
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+ | 0.7428 | 140.92 | 458 | 0.9591 | 0.6469 |
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+ | 0.7428 | 141.85 | 461 | 0.9620 | 0.6469 |
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+ | 0.7428 | 142.77 | 464 | 0.9638 | 0.6503 |
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+ | 0.7428 | 144.0 | 468 | 0.9599 | 0.6503 |
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+ | 0.7428 | 144.92 | 471 | 0.9564 | 0.6573 |
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+ | 0.7428 | 145.85 | 474 | 0.9549 | 0.6538 |
200
+ | 0.7428 | 146.77 | 477 | 0.9566 | 0.6469 |
201
+ | 0.7428 | 148.0 | 481 | 0.9600 | 0.6538 |
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+ | 0.7428 | 148.92 | 484 | 0.9609 | 0.6573 |
203
+ | 0.7428 | 149.85 | 487 | 0.9582 | 0.6573 |
204
+ | 0.7428 | 150.77 | 490 | 0.9541 | 0.6573 |
205
+ | 0.7428 | 152.0 | 494 | 0.9551 | 0.6573 |
206
+ | 0.7428 | 152.92 | 497 | 0.9550 | 0.6538 |
207
+ | 0.7119 | 153.85 | 500 | 0.9533 | 0.6608 |
208
+ | 0.7119 | 154.77 | 503 | 0.9527 | 0.6608 |
209
+ | 0.7119 | 156.0 | 507 | 0.9555 | 0.6538 |
210
+ | 0.7119 | 156.92 | 510 | 0.9558 | 0.6608 |
211
+ | 0.7119 | 157.85 | 513 | 0.9578 | 0.6573 |
212
+ | 0.7119 | 158.77 | 516 | 0.9590 | 0.6573 |
213
+ | 0.7119 | 160.0 | 520 | 0.9553 | 0.6573 |
214
+ | 0.7119 | 160.92 | 523 | 0.9510 | 0.6573 |
215
+ | 0.7119 | 161.85 | 526 | 0.9447 | 0.6608 |
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+ | 0.7119 | 162.77 | 529 | 0.9405 | 0.6608 |
217
+ | 0.7119 | 164.0 | 533 | 0.9429 | 0.6608 |
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+ | 0.7119 | 164.92 | 536 | 0.9473 | 0.6608 |
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+ | 0.7119 | 165.85 | 539 | 0.9522 | 0.6608 |
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+ | 0.7119 | 166.77 | 542 | 0.9533 | 0.6608 |
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+ | 0.7119 | 168.0 | 546 | 0.9498 | 0.6643 |
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+ | 0.7119 | 168.92 | 549 | 0.9472 | 0.6608 |
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+ | 0.6802 | 169.85 | 552 | 0.9484 | 0.6608 |
224
+ | 0.6802 | 170.77 | 555 | 0.9488 | 0.6608 |
225
+ | 0.6802 | 172.0 | 559 | 0.9508 | 0.6608 |
226
+ | 0.6802 | 172.92 | 562 | 0.9550 | 0.6608 |
227
+ | 0.6802 | 173.85 | 565 | 0.9578 | 0.6573 |
228
+ | 0.6802 | 174.77 | 568 | 0.9607 | 0.6538 |
229
+ | 0.6802 | 176.0 | 572 | 0.9590 | 0.6573 |
230
+ | 0.6802 | 176.92 | 575 | 0.9531 | 0.6608 |
231
+ | 0.6802 | 177.85 | 578 | 0.9498 | 0.6608 |
232
+ | 0.6802 | 178.77 | 581 | 0.9497 | 0.6608 |
233
+ | 0.6802 | 180.0 | 585 | 0.9547 | 0.6573 |
234
+ | 0.6802 | 180.92 | 588 | 0.9555 | 0.6573 |
235
+ | 0.6802 | 181.85 | 591 | 0.9561 | 0.6538 |
236
+ | 0.6802 | 182.77 | 594 | 0.9556 | 0.6573 |
237
+ | 0.6802 | 184.0 | 598 | 0.9522 | 0.6573 |
238
+ | 0.6609 | 184.92 | 601 | 0.9505 | 0.6573 |
239
+ | 0.6609 | 185.85 | 604 | 0.9509 | 0.6608 |
240
+ | 0.6609 | 186.77 | 607 | 0.9513 | 0.6608 |
241
+ | 0.6609 | 188.0 | 611 | 0.9521 | 0.6573 |
242
+ | 0.6609 | 188.92 | 614 | 0.9505 | 0.6573 |
243
+ | 0.6609 | 189.85 | 617 | 0.9492 | 0.6573 |
244
+ | 0.6609 | 190.77 | 620 | 0.9478 | 0.6538 |
245
+ | 0.6609 | 192.0 | 624 | 0.9458 | 0.6538 |
246
+ | 0.6609 | 192.92 | 627 | 0.9427 | 0.6573 |
247
+ | 0.6609 | 193.85 | 630 | 0.9434 | 0.6608 |
248
+ | 0.6609 | 194.77 | 633 | 0.9444 | 0.6573 |
249
+ | 0.6609 | 196.0 | 637 | 0.9477 | 0.6573 |
250
+ | 0.6609 | 196.92 | 640 | 0.9480 | 0.6573 |
251
+ | 0.6609 | 197.85 | 643 | 0.9454 | 0.6573 |
252
+ | 0.6609 | 198.77 | 646 | 0.9444 | 0.6573 |
253
+ | 0.6402 | 200.0 | 650 | 0.9394 | 0.6573 |
254
+ | 0.6402 | 200.92 | 653 | 0.9393 | 0.6573 |
255
+ | 0.6402 | 201.85 | 656 | 0.9409 | 0.6608 |
256
+ | 0.6402 | 202.77 | 659 | 0.9434 | 0.6608 |
257
+ | 0.6402 | 204.0 | 663 | 0.9422 | 0.6608 |
258
+ | 0.6402 | 204.92 | 666 | 0.9422 | 0.6608 |
259
+ | 0.6402 | 205.85 | 669 | 0.9415 | 0.6608 |
260
+ | 0.6402 | 206.77 | 672 | 0.9403 | 0.6608 |
261
+ | 0.6402 | 208.0 | 676 | 0.9444 | 0.6573 |
262
+ | 0.6402 | 208.92 | 679 | 0.9434 | 0.6573 |
263
+ | 0.6402 | 209.85 | 682 | 0.9393 | 0.6608 |
264
+ | 0.6402 | 210.77 | 685 | 0.9384 | 0.6573 |
265
+ | 0.6402 | 212.0 | 689 | 0.9406 | 0.6573 |
266
+ | 0.6402 | 212.92 | 692 | 0.9428 | 0.6573 |
267
+ | 0.6402 | 213.85 | 695 | 0.9420 | 0.6573 |
268
+ | 0.6402 | 214.77 | 698 | 0.9403 | 0.6538 |
269
+ | 0.632 | 216.0 | 702 | 0.9396 | 0.6608 |
270
+ | 0.632 | 216.92 | 705 | 0.9378 | 0.6608 |
271
+ | 0.632 | 217.85 | 708 | 0.9360 | 0.6608 |
272
+ | 0.632 | 218.77 | 711 | 0.9352 | 0.6608 |
273
+ | 0.632 | 220.0 | 715 | 0.9344 | 0.6678 |
274
+ | 0.632 | 220.92 | 718 | 0.9372 | 0.6678 |
275
+ | 0.632 | 221.85 | 721 | 0.9404 | 0.6643 |
276
+ | 0.632 | 222.77 | 724 | 0.9429 | 0.6643 |
277
+ | 0.632 | 224.0 | 728 | 0.9427 | 0.6643 |
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+ | 0.632 | 224.92 | 731 | 0.9426 | 0.6643 |
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+ | 0.632 | 225.85 | 734 | 0.9412 | 0.6678 |
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+ | 0.632 | 226.77 | 737 | 0.9402 | 0.6678 |
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+ | 0.632 | 228.0 | 741 | 0.9381 | 0.6678 |
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+ | 0.632 | 228.92 | 744 | 0.9379 | 0.6678 |
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+ | 0.632 | 229.85 | 747 | 0.9394 | 0.6678 |
284
+ | 0.6285 | 230.77 | 750 | 0.9396 | 0.6678 |
285
+ | 0.6285 | 232.0 | 754 | 0.9438 | 0.6643 |
286
+ | 0.6285 | 232.92 | 757 | 0.9464 | 0.6643 |
287
+ | 0.6285 | 233.85 | 760 | 0.9501 | 0.6643 |
288
+ | 0.6285 | 234.77 | 763 | 0.9518 | 0.6678 |
289
+ | 0.6285 | 236.0 | 767 | 0.9503 | 0.6678 |
290
+ | 0.6285 | 236.92 | 770 | 0.9495 | 0.6643 |
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+ | 0.6285 | 237.85 | 773 | 0.9487 | 0.6643 |
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+ | 0.6285 | 238.77 | 776 | 0.9492 | 0.6643 |
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+ | 0.6285 | 240.0 | 780 | 0.9464 | 0.6678 |
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+ | 0.6285 | 240.92 | 783 | 0.9433 | 0.6678 |
295
+ | 0.6285 | 241.85 | 786 | 0.9403 | 0.6643 |
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+ | 0.6285 | 242.77 | 789 | 0.9371 | 0.6643 |
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+ | 0.6285 | 244.0 | 793 | 0.9387 | 0.6643 |
298
+ | 0.6285 | 244.92 | 796 | 0.9423 | 0.6678 |
299
+ | 0.6285 | 245.85 | 799 | 0.9452 | 0.6678 |
300
+ | 0.6049 | 246.77 | 802 | 0.9475 | 0.6678 |
301
+ | 0.6049 | 248.0 | 806 | 0.9469 | 0.6678 |
302
+ | 0.6049 | 248.92 | 809 | 0.9463 | 0.6678 |
303
+ | 0.6049 | 249.85 | 812 | 0.9462 | 0.6678 |
304
+ | 0.6049 | 250.77 | 815 | 0.9460 | 0.6678 |
305
+ | 0.6049 | 252.0 | 819 | 0.9463 | 0.6678 |
306
+ | 0.6049 | 252.92 | 822 | 0.9468 | 0.6678 |
307
+ | 0.6049 | 253.85 | 825 | 0.9467 | 0.6678 |
308
+ | 0.6049 | 254.77 | 828 | 0.9466 | 0.6678 |
309
+ | 0.6049 | 256.0 | 832 | 0.9451 | 0.6678 |
310
+ | 0.6049 | 256.92 | 835 | 0.9441 | 0.6678 |
311
+ | 0.6049 | 257.85 | 838 | 0.9426 | 0.6678 |
312
+ | 0.6049 | 258.77 | 841 | 0.9439 | 0.6678 |
313
+ | 0.6049 | 260.0 | 845 | 0.9444 | 0.6678 |
314
+ | 0.6049 | 260.92 | 848 | 0.9435 | 0.6678 |
315
+ | 0.6024 | 261.85 | 851 | 0.9442 | 0.6678 |
316
+ | 0.6024 | 262.77 | 854 | 0.9441 | 0.6678 |
317
+ | 0.6024 | 264.0 | 858 | 0.9449 | 0.6713 |
318
+ | 0.6024 | 264.92 | 861 | 0.9438 | 0.6713 |
319
+ | 0.6024 | 265.85 | 864 | 0.9423 | 0.6713 |
320
+ | 0.6024 | 266.77 | 867 | 0.9406 | 0.6678 |
321
+ | 0.6024 | 268.0 | 871 | 0.9400 | 0.6678 |
322
+ | 0.6024 | 268.92 | 874 | 0.9407 | 0.6678 |
323
+ | 0.6024 | 269.85 | 877 | 0.9428 | 0.6713 |
324
+ | 0.6024 | 270.77 | 880 | 0.9454 | 0.6713 |
325
+ | 0.6024 | 272.0 | 884 | 0.9466 | 0.6713 |
326
+ | 0.6024 | 272.92 | 887 | 0.9472 | 0.6713 |
327
+ | 0.6024 | 273.85 | 890 | 0.9462 | 0.6713 |
328
+ | 0.6024 | 274.77 | 893 | 0.9464 | 0.6713 |
329
+ | 0.6024 | 276.0 | 897 | 0.9453 | 0.6678 |
330
+ | 0.5966 | 276.92 | 900 | 0.9435 | 0.6678 |
331
+ | 0.5966 | 277.85 | 903 | 0.9418 | 0.6713 |
332
+ | 0.5966 | 278.77 | 906 | 0.9401 | 0.6678 |
333
+ | 0.5966 | 280.0 | 910 | 0.9375 | 0.6678 |
334
+ | 0.5966 | 280.92 | 913 | 0.9366 | 0.6678 |
335
+ | 0.5966 | 281.85 | 916 | 0.9358 | 0.6678 |
336
+ | 0.5966 | 282.77 | 919 | 0.9364 | 0.6678 |
337
+ | 0.5966 | 284.0 | 923 | 0.9369 | 0.6713 |
338
+ | 0.5966 | 284.92 | 926 | 0.9384 | 0.6713 |
339
+ | 0.5966 | 285.85 | 929 | 0.9411 | 0.6713 |
340
+ | 0.5966 | 286.77 | 932 | 0.9424 | 0.6713 |
341
+ | 0.5966 | 288.0 | 936 | 0.9443 | 0.6678 |
342
+ | 0.5966 | 288.92 | 939 | 0.9451 | 0.6678 |
343
+ | 0.5966 | 289.85 | 942 | 0.9461 | 0.6713 |
344
+ | 0.5966 | 290.77 | 945 | 0.9465 | 0.6678 |
345
+ | 0.5966 | 292.0 | 949 | 0.9478 | 0.6713 |
346
+ | 0.5841 | 292.92 | 952 | 0.9480 | 0.6713 |
347
+ | 0.5841 | 293.85 | 955 | 0.9477 | 0.6713 |
348
+ | 0.5841 | 294.77 | 958 | 0.9466 | 0.6713 |
349
+ | 0.5841 | 296.0 | 962 | 0.9454 | 0.6678 |
350
+ | 0.5841 | 296.92 | 965 | 0.9449 | 0.6678 |
351
+ | 0.5841 | 297.85 | 968 | 0.9441 | 0.6678 |
352
+ | 0.5841 | 298.77 | 971 | 0.9439 | 0.6713 |
353
+ | 0.5841 | 300.0 | 975 | 0.9433 | 0.6713 |
354
+ | 0.5841 | 300.92 | 978 | 0.9433 | 0.6713 |
355
+ | 0.5841 | 301.85 | 981 | 0.9427 | 0.6713 |
356
+ | 0.5841 | 302.77 | 984 | 0.9423 | 0.6713 |
357
+ | 0.5841 | 304.0 | 988 | 0.9416 | 0.6713 |
358
+ | 0.5841 | 304.92 | 991 | 0.9412 | 0.6713 |
359
+ | 0.5841 | 305.85 | 994 | 0.9412 | 0.6713 |
360
+ | 0.5841 | 306.77 | 997 | 0.9410 | 0.6713 |
361
+ | 0.5913 | 308.0 | 1001 | 0.9409 | 0.6713 |
362
+ | 0.5913 | 308.92 | 1004 | 0.9412 | 0.6713 |
363
+ | 0.5913 | 309.85 | 1007 | 0.9415 | 0.6713 |
364
+ | 0.5913 | 310.77 | 1010 | 0.9419 | 0.6713 |
365
+ | 0.5913 | 312.0 | 1014 | 0.9426 | 0.6713 |
366
+ | 0.5913 | 312.92 | 1017 | 0.9430 | 0.6678 |
367
+ | 0.5913 | 313.85 | 1020 | 0.9434 | 0.6678 |
368
+ | 0.5913 | 314.77 | 1023 | 0.9436 | 0.6678 |
369
+ | 0.5913 | 316.0 | 1027 | 0.9439 | 0.6678 |
370
+ | 0.5913 | 316.92 | 1030 | 0.9439 | 0.6678 |
371
+ | 0.5913 | 317.85 | 1033 | 0.9439 | 0.6678 |
372
+ | 0.5913 | 318.77 | 1036 | 0.9440 | 0.6678 |
373
+ | 0.5913 | 320.0 | 1040 | 0.9440 | 0.6678 |
374
+ | 0.5913 | 320.92 | 1043 | 0.9440 | 0.6678 |
375
+ | 0.5913 | 321.85 | 1046 | 0.9441 | 0.6678 |
376
+ | 0.5913 | 322.77 | 1049 | 0.9442 | 0.6678 |
377
+ | 0.5798 | 323.08 | 1050 | 0.9442 | 0.6678 |
378
+
379
+
380
+ ### Framework versions
381
+
382
+ - Transformers 4.39.0.dev0
383
+ - Pytorch 2.2.1+cu121
384
+ - Datasets 2.17.1
385
+ - Tokenizers 0.15.2
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