--- license: apache-2.0 base_model: google/mt5-base tags: - generated_from_trainer metrics: - rouge model-index: - name: en_bn_summarize_v9 results: [] --- # en_bn_summarize_v9 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: - Loss: 10.1813 - Rouge1: 0.0 - Rouge2: 0.0 - Rougel: 0.0 - Rougelsum: 0.0 - Gen Len: 19.2112 ## 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: 4 - eval_batch_size: 4 - seed: 42 - gradient_accumulation_steps: 2 - total_train_batch_size: 8 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 5000 - num_epochs: 5 ### Training results | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| | No log | 1.0 | 154 | 21.8463 | 0.0 | 0.0 | 0.0 | 0.0 | 14.2733 | | 22.8116 | 2.0 | 308 | 21.0316 | 0.0 | 0.0 | 0.0 | 0.0 | 15.9441 | | 22.8116 | 3.0 | 462 | 18.9193 | 0.0 | 0.0 | 0.0 | 0.0 | 16.8882 | | 18.8985 | 4.0 | 616 | 15.2305 | 0.0 | 0.0 | 0.0 | 0.0 | 17.7826 | | 18.8985 | 5.0 | 770 | 10.1813 | 0.0 | 0.0 | 0.0 | 0.0 | 19.2112 | ### Framework versions - Transformers 4.34.0 - Pytorch 2.0.1+cu118 - Datasets 2.14.5 - Tokenizers 0.14.1