T5-summarizer-simple-wiki-v2

This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.0866

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: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
2.2575	1.0	14719	2.1173
2.2663	2.0	29438	2.0926
2.2092	3.0	44157	2.0866

Framework versions

• Transformers 4.19.4
• Pytorch 1.11.0
• Datasets 2.3.2
• Tokenizers 0.12.1