--- license: apache-2.0 base_model: google-t5/t5-small tags: - generated_from_trainer metrics: - bleu model-index: - name: my_awesome_opus_books_model results: [] --- [Visualize in Weights & Biases]() [Visualize in Weights & Biases]() [Visualize in Weights & Biases]() [Visualize in Weights & Biases]() [Visualize in Weights & Biases]() [Visualize in Weights & Biases]() [Visualize in Weights & Biases]() # my_awesome_opus_books_model This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 2.2630 - Bleu: 11.5935 - Gen Len: 11.9413 ## 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: 32 - eval_batch_size: 32 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 2 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| | 2.578 | 1.0 | 3178 | 2.3047 | 11.3146 | 11.7909 | | 2.484 | 2.0 | 6356 | 2.2630 | 11.5935 | 11.9413 | ### Framework versions - Transformers 4.42.3 - Pytorch 2.1.2 - Datasets 2.20.0 - Tokenizers 0.19.1