--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: tinygram results: [] --- # tinygram This model is a fine-tuned version of [google/t5-efficient-tiny-nh32](https://huggingface.co/google/t5-efficient-tiny-nh32) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.4318 ## 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: 16 - eval_batch_size: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 10 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:-----:|:---------------:| | 1.4129 | 1.0 | 1875 | 0.7042 | | 0.8989 | 2.0 | 3750 | 0.5567 | | 0.7689 | 3.0 | 5625 | 0.5098 | | 0.7041 | 4.0 | 7500 | 0.4821 | | 0.6824 | 5.0 | 9375 | 0.4634 | | 0.6456 | 6.0 | 11250 | 0.4511 | | 0.6241 | 7.0 | 13125 | 0.4440 | | 0.6194 | 8.0 | 15000 | 0.4364 | | 0.609 | 9.0 | 16875 | 0.4328 | | 0.6042 | 10.0 | 18750 | 0.4318 | ### Framework versions - Transformers 4.25.1 - Pytorch 1.13.0+cu116 - Datasets 2.8.0 - Tokenizers 0.13.2