--- license: apache-2.0 base_model: google/mt5-base tags: - generated_from_keras_callback model-index: - name: pakawadeep/mt5-base-finetuned-ctfl-augmented_1 results: [] --- # pakawadeep/mt5-base-finetuned-ctfl-augmented_1 This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown dataset. It achieves the following results on the evaluation set: - Train Loss: 0.4362 - Validation Loss: 0.7757 - Train Rouge1: 8.4512 - Train Rouge2: 1.2871 - Train Rougel: 8.4158 - Train Rougelsum: 8.4512 - Train Gen Len: 11.8762 - Epoch: 21 ## 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 | Train Rouge1 | Train Rouge2 | Train Rougel | Train Rougelsum | Train Gen Len | Epoch | |:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:| | 5.3770 | 2.6665 | 4.5262 | 0.6931 | 4.5733 | 4.5733 | 8.9356 | 0 | | 2.7256 | 2.0063 | 5.6931 | 1.3201 | 5.6518 | 5.6931 | 10.2277 | 1 | | 2.0053 | 1.4899 | 7.7086 | 2.1782 | 7.7086 | 7.7086 | 11.3465 | 2 | | 1.5782 | 1.2268 | 7.7086 | 2.1782 | 7.7086 | 7.7086 | 11.8168 | 3 | | 1.3143 | 1.1257 | 8.6987 | 2.1782 | 8.6987 | 8.4866 | 11.9257 | 4 | | 1.1311 | 1.0411 | 8.9816 | 2.2772 | 8.9109 | 8.9109 | 11.9406 | 5 | | 1.0120 | 0.9954 | 8.9816 | 2.2772 | 8.9109 | 8.9109 | 11.9406 | 6 | | 0.9320 | 0.9375 | 8.9816 | 2.2772 | 8.9109 | 8.9109 | 11.9208 | 7 | | 0.8538 | 0.8867 | 8.9816 | 2.2772 | 8.9109 | 8.9109 | 11.8911 | 8 | | 0.7999 | 0.8593 | 8.8166 | 1.7822 | 8.7459 | 8.7459 | 11.8861 | 9 | | 0.7562 | 0.8440 | 8.5573 | 1.2871 | 8.4866 | 8.5337 | 11.8812 | 10 | | 0.7106 | 0.8085 | 8.5573 | 1.2871 | 8.4866 | 8.5337 | 11.8812 | 11 | | 0.6685 | 0.8044 | 7.9562 | 0.7921 | 7.8147 | 7.9562 | 11.9059 | 12 | | 0.6377 | 0.7867 | 8.4512 | 1.2871 | 8.4158 | 8.4512 | 11.8762 | 13 | | 0.6067 | 0.7731 | 8.2980 | 0.7921 | 8.2096 | 8.2862 | 11.8960 | 14 | | 0.5826 | 0.7593 | 8.2980 | 0.7921 | 8.2096 | 8.2862 | 11.8861 | 15 | | 0.5533 | 0.7656 | 8.4512 | 1.2871 | 8.4158 | 8.4512 | 11.9010 | 16 | | 0.5286 | 0.7657 | 8.4512 | 1.2871 | 8.4158 | 8.4512 | 11.8812 | 17 | | 0.5049 | 0.7674 | 8.4512 | 1.2871 | 8.4158 | 8.4512 | 11.8465 | 18 | | 0.4800 | 0.7591 | 8.4512 | 1.2871 | 8.4158 | 8.4512 | 11.8663 | 19 | | 0.4593 | 0.7637 | 8.4512 | 1.2871 | 8.4158 | 8.4512 | 11.8663 | 20 | | 0.4362 | 0.7757 | 8.4512 | 1.2871 | 8.4158 | 8.4512 | 11.8762 | 21 | ### Framework versions - Transformers 4.41.2 - TensorFlow 2.15.0 - Datasets 2.20.0 - Tokenizers 0.19.1