--- license: apache-2.0 base_model: G-R-A-V-I-T-Y/flan-t5-base-ARv1 tags: - generated_from_trainer model-index: - name: flan-t5-base-ARv1-ARv2 results: [] --- # flan-t5-base-ARv1-ARv2 This model is a fine-tuned version of [G-R-A-V-I-T-Y/flan-t5-base-ARv1](https://huggingface.co/G-R-A-V-I-T-Y/flan-t5-base-ARv1) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.7981 - Exact Match: 10.0 - Gen Len: 4.0 ## 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: 20 ### Training results | Training Loss | Epoch | Step | Validation Loss | Exact Match | Gen Len | |:-------------:|:-----:|:----:|:---------------:|:-----------:|:-------:| | No log | 1.0 | 7 | 0.7981 | 10.0 | 4.0 | | No log | 2.0 | 14 | 0.7982 | 10.0 | 4.0 | | No log | 3.0 | 21 | 0.7982 | 10.0 | 4.0 | | No log | 4.0 | 28 | 0.7982 | 10.0 | 4.0 | | No log | 5.0 | 35 | 0.7982 | 10.0 | 4.0 | | No log | 6.0 | 42 | 0.7982 | 10.0 | 4.0 | | No log | 7.0 | 49 | 0.7982 | 10.0 | 4.0 | | No log | 8.0 | 56 | 0.7982 | 10.0 | 4.0 | | No log | 9.0 | 63 | 0.7982 | 10.0 | 4.0 | | No log | 10.0 | 70 | 0.7982 | 10.0 | 4.0 | | No log | 11.0 | 77 | 0.7983 | 10.0 | 4.0 | | No log | 12.0 | 84 | 0.7983 | 10.0 | 4.0 | | No log | 13.0 | 91 | 0.7983 | 10.0 | 4.0 | | No log | 14.0 | 98 | 0.7983 | 10.0 | 4.0 | | No log | 15.0 | 105 | 0.7984 | 10.0 | 4.0 | | No log | 16.0 | 112 | 0.7984 | 10.0 | 4.0 | | No log | 17.0 | 119 | 0.7984 | 10.0 | 4.0 | | No log | 18.0 | 126 | 0.7984 | 10.0 | 4.0 | | No log | 19.0 | 133 | 0.7984 | 10.0 | 4.0 | | No log | 20.0 | 140 | 0.7984 | 10.0 | 4.0 | ### Framework versions - Transformers 4.41.0 - Pytorch 2.2.1 - Datasets 2.19.1 - Tokenizers 0.19.1