--- license: apache-2.0 base_model: google/long-t5-local-base tags: - generated_from_trainer model-index: - name: long-t5-local-base-ARv1 results: [] --- # long-t5-local-base-ARv1 This model is a fine-tuned version of [google/long-t5-local-base](https://huggingface.co/google/long-t5-local-base) on the None dataset. It achieves the following results on the evaluation set: - Loss: 2.9303 - Exact Match: 18.0 - Gen Len: 3.38 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 5e-05 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 60 ### Training results | Training Loss | Epoch | Step | Validation Loss | Exact Match | Gen Len | |:-------------:|:-----:|:----:|:---------------:|:-----------:|:-------:| | No log | 1.0 | 7 | 3.4004 | 14.0 | 3.86 | | 2.7206 | 2.0 | 14 | 3.1925 | 8.0 | 3.66 | | 2.6501 | 3.0 | 21 | 2.9867 | 8.0 | 3.7 | | 2.6501 | 4.0 | 28 | 2.8576 | 12.0 | 4.58 | | 1.9849 | 5.0 | 35 | 2.9078 | 12.0 | 4.52 | | 2.0193 | 6.0 | 42 | 2.8173 | 8.0 | 3.84 | | 2.0193 | 7.0 | 49 | 2.7735 | 16.0 | 3.42 | | 1.6108 | 8.0 | 56 | 2.5993 | 12.0 | 3.82 | | 1.8323 | 9.0 | 63 | 2.5879 | 12.0 | 3.92 | | 1.4861 | 10.0 | 70 | 2.7203 | 16.0 | 3.4 | | 1.4861 | 11.0 | 77 | 2.9902 | 24.0 | 3.1 | | 1.425 | 12.0 | 84 | 2.7667 | 14.0 | 3.36 | | 1.0387 | 13.0 | 91 | 2.6547 | 18.0 | 3.42 | | 1.0387 | 14.0 | 98 | 2.7072 | 18.0 | 3.34 | | 1.0793 | 15.0 | 105 | 2.8158 | 12.0 | 3.58 | | 1.1969 | 16.0 | 112 | 2.9404 | 14.0 | 3.32 | | 1.1969 | 17.0 | 119 | 2.8512 | 14.0 | 3.3 | | 1.15 | 18.0 | 126 | 2.7513 | 18.0 | 3.68 | | 1.2024 | 19.0 | 133 | 2.7124 | 16.0 | 3.48 | | 1.3331 | 20.0 | 140 | 2.7484 | 16.0 | 3.4 | | 1.3331 | 21.0 | 147 | 2.8289 | 18.0 | 3.44 | | 1.1469 | 22.0 | 154 | 2.9873 | 14.0 | 3.36 | | 1.5639 | 23.0 | 161 | 3.0321 | 18.0 | 3.4 | | 1.5639 | 24.0 | 168 | 3.0117 | 14.0 | 3.3 | | 0.8542 | 25.0 | 175 | 2.8331 | 16.0 | 3.34 | | 0.9789 | 26.0 | 182 | 2.7876 | 20.0 | 3.36 | | 0.9789 | 27.0 | 189 | 2.7820 | 20.0 | 3.36 | | 0.8853 | 28.0 | 196 | 2.8082 | 18.0 | 3.38 | | 0.9126 | 29.0 | 203 | 2.8316 | 16.0 | 3.36 | | 1.0543 | 30.0 | 210 | 2.8449 | 18.0 | 3.64 | | 1.0543 | 31.0 | 217 | 2.8034 | 8.0 | 3.62 | | 1.0683 | 32.0 | 224 | 2.8115 | 14.0 | 3.46 | | 0.951 | 33.0 | 231 | 2.9019 | 18.0 | 3.34 | | 0.951 | 34.0 | 238 | 3.0115 | 18.0 | 3.24 | | 0.8315 | 35.0 | 245 | 3.0392 | 18.0 | 3.24 | | 1.1548 | 36.0 | 252 | 3.0643 | 18.0 | 3.36 | | 1.1548 | 37.0 | 259 | 3.0031 | 16.0 | 3.42 | | 0.7813 | 38.0 | 266 | 2.9801 | 18.0 | 3.48 | | 0.671 | 39.0 | 273 | 2.9622 | 18.0 | 3.48 | | 1.1771 | 40.0 | 280 | 2.9049 | 18.0 | 3.46 | | 1.1771 | 41.0 | 287 | 2.9042 | 20.0 | 3.56 | | 0.5959 | 42.0 | 294 | 2.9598 | 18.0 | 3.48 | | 1.1583 | 43.0 | 301 | 2.9936 | 18.0 | 3.44 | | 1.1583 | 44.0 | 308 | 3.0072 | 18.0 | 3.44 | | 0.5728 | 45.0 | 315 | 3.0003 | 18.0 | 3.44 | | 0.7237 | 46.0 | 322 | 3.0093 | 16.0 | 3.4 | | 0.7237 | 47.0 | 329 | 2.9688 | 18.0 | 3.42 | | 0.7295 | 48.0 | 336 | 2.9533 | 18.0 | 3.38 | | 0.5627 | 49.0 | 343 | 2.9357 | 18.0 | 3.36 | | 0.6489 | 50.0 | 350 | 2.9317 | 18.0 | 3.4 | | 0.6489 | 51.0 | 357 | 2.9339 | 18.0 | 3.4 | | 1.0427 | 52.0 | 364 | 2.9256 | 18.0 | 3.4 | | 0.9156 | 53.0 | 371 | 2.9220 | 18.0 | 3.4 | | 0.9156 | 54.0 | 378 | 2.9091 | 18.0 | 3.38 | | 0.4748 | 55.0 | 385 | 2.9036 | 18.0 | 3.36 | | 0.5616 | 56.0 | 392 | 2.8998 | 18.0 | 3.36 | | 0.5616 | 57.0 | 399 | 2.9128 | 18.0 | 3.36 | | 0.4836 | 58.0 | 406 | 2.9205 | 18.0 | 3.36 | | 0.6498 | 59.0 | 413 | 2.9282 | 18.0 | 3.36 | | 0.615 | 60.0 | 420 | 2.9303 | 18.0 | 3.38 | ### Framework versions - Transformers 4.41.0 - Pytorch 2.2.1 - Datasets 2.19.1 - Tokenizers 0.19.1