--- license: apache-2.0 base_model: google/flan-t5-large tags: - generated_from_trainer model-index: - name: t5_bos results: [] --- # t5_bos This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on the None dataset. It achieves the following results on the evaluation set: - Loss: nan ## 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: 2e-05 - train_batch_size: 2 - eval_batch_size: 2 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 20 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | No log | 1.0 | 126 | nan | | No log | 2.0 | 252 | nan | | No log | 3.0 | 378 | nan | | 0.0 | 4.0 | 504 | nan | | 0.0 | 5.0 | 630 | nan | | 0.0 | 6.0 | 756 | nan | | 0.0 | 7.0 | 882 | nan | | 0.0 | 8.0 | 1008 | nan | | 0.0 | 9.0 | 1134 | nan | | 0.0 | 10.0 | 1260 | nan | | 0.0 | 11.0 | 1386 | nan | | 0.0 | 12.0 | 1512 | nan | | 0.0 | 13.0 | 1638 | nan | | 0.0 | 14.0 | 1764 | nan | | 0.0 | 15.0 | 1890 | nan | | 0.0 | 16.0 | 2016 | nan | | 0.0 | 17.0 | 2142 | nan | | 0.0 | 18.0 | 2268 | nan | | 0.0 | 19.0 | 2394 | nan | | 0.0 | 20.0 | 2520 | nan | ### Framework versions - Transformers 4.44.0 - Pytorch 2.4.0+cu118 - Datasets 2.21.0 - Tokenizers 0.19.1