--- license: apache-2.0 base_model: t5-small tags: - generated_from_keras_callback model-index: - name: bedus-creation/t5-small-dataset-ii-eng-lim results: [] --- # bedus-creation/t5-small-dataset-ii-eng-lim This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset. It achieves the following results on the evaluation set: - Train Loss: 6.2084 - Validation Loss: 6.3126 - Epoch: 84 ## 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: - optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01} - training_precision: float32 ### Training results | Train Loss | Validation Loss | Epoch | |:----------:|:---------------:|:-----:| | 8.3860 | 7.8693 | 0 | | 7.8568 | 7.6558 | 1 | | 7.6900 | 7.5352 | 2 | | 7.5904 | 7.4631 | 3 | | 7.5155 | 7.4041 | 4 | | 7.4554 | 7.3553 | 5 | | 7.4005 | 7.3036 | 6 | | 7.3547 | 7.2561 | 7 | | 7.3104 | 7.2076 | 8 | | 7.2651 | 7.1736 | 9 | | 7.2302 | 7.1315 | 10 | | 7.1888 | 7.0968 | 11 | | 7.1616 | 7.0651 | 12 | | 7.1290 | 7.0307 | 13 | | 7.1066 | 7.0053 | 14 | | 7.0729 | 6.9707 | 15 | | 7.0388 | 6.9448 | 16 | | 7.0169 | 6.9307 | 17 | | 6.9924 | 6.9024 | 18 | | 6.9716 | 6.8793 | 19 | | 6.9503 | 6.8574 | 20 | | 6.9252 | 6.8467 | 21 | | 6.9136 | 6.8283 | 22 | | 6.8915 | 6.8110 | 23 | | 6.8697 | 6.7949 | 24 | | 6.8531 | 6.7795 | 25 | | 6.8336 | 6.7697 | 26 | | 6.8255 | 6.7512 | 27 | | 6.8080 | 6.7408 | 28 | | 6.7928 | 6.7286 | 29 | | 6.7752 | 6.7145 | 30 | | 6.7629 | 6.7035 | 31 | | 6.7467 | 6.6857 | 32 | | 6.7329 | 6.6796 | 33 | | 6.7216 | 6.6668 | 34 | | 6.7067 | 6.6644 | 35 | | 6.6935 | 6.6473 | 36 | | 6.6810 | 6.6427 | 37 | | 6.6713 | 6.6261 | 38 | | 6.6551 | 6.6150 | 39 | | 6.6422 | 6.6055 | 40 | | 6.6346 | 6.5983 | 41 | | 6.6254 | 6.5894 | 42 | | 6.6066 | 6.5755 | 43 | | 6.6023 | 6.5741 | 44 | | 6.5900 | 6.5606 | 45 | | 6.5781 | 6.5552 | 46 | | 6.5597 | 6.5443 | 47 | | 6.5578 | 6.5378 | 48 | | 6.5426 | 6.5306 | 49 | | 6.5304 | 6.5201 | 50 | | 6.5179 | 6.5205 | 51 | | 6.5142 | 6.5051 | 52 | | 6.5010 | 6.4979 | 53 | | 6.4840 | 6.5017 | 54 | | 6.4787 | 6.4823 | 55 | | 6.4734 | 6.4735 | 56 | | 6.4619 | 6.4677 | 57 | | 6.4496 | 6.4637 | 58 | | 6.4344 | 6.4539 | 59 | | 6.4290 | 6.4470 | 60 | | 6.4159 | 6.4421 | 61 | | 6.4069 | 6.4314 | 62 | | 6.3964 | 6.4247 | 63 | | 6.3887 | 6.4217 | 64 | | 6.3783 | 6.4150 | 65 | | 6.3670 | 6.4078 | 66 | | 6.3593 | 6.3974 | 67 | | 6.3500 | 6.3996 | 68 | | 6.3359 | 6.3906 | 69 | | 6.3358 | 6.3818 | 70 | | 6.3298 | 6.3764 | 71 | | 6.3158 | 6.3746 | 72 | | 6.3026 | 6.3638 | 73 | | 6.2904 | 6.3611 | 74 | | 6.2861 | 6.3627 | 75 | | 6.2820 | 6.3596 | 76 | | 6.2658 | 6.3496 | 77 | | 6.2554 | 6.3430 | 78 | | 6.2552 | 6.3374 | 79 | | 6.2468 | 6.3300 | 80 | | 6.2316 | 6.3230 | 81 | | 6.2314 | 6.3171 | 82 | | 6.2198 | 6.3162 | 83 | | 6.2084 | 6.3126 | 84 | ### Framework versions - Transformers 4.33.2 - TensorFlow 2.13.0 - Datasets 2.14.5 - Tokenizers 0.13.3