amazon-sagemaker-community/encoder_decoder_es

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

encoderdecoderes

This model is a fine-tuned version of [](https://huggingface.co/) on the ccnewses_titles dataset. It achieves the following results on the evaluation set:

• —Loss: 7.8773
• —Rouge2 Precision: 0.002
• —Rouge2 Recall: 0.0116
• —Rouge2 Fmeasure: 0.0034

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: 0.003
• —trainbatchsize: 32
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 500
• —num_epochs: 4
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.12.3
• —Pytorch 1.9.1
• —Datasets 1.15.1
• —Tokenizers 0.10.3