T5-based-keywords-to-sentence-Epoch-10

This model is a fine-tuned version of mrm8488/t5-base-finetuned-common_gen on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.9915
• Bleu: 10.3156
• Gen Len: 13.7832

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: 128
• eval_batch_size: 128
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
1.83	1.0	527	1.9997	10.4298	13.7036
1.816	2.0	1054	1.9972	10.5072	13.6857
1.8084	3.0	1581	2.0045	10.4912	13.6837
1.7929	4.0	2108	2.0073	10.3682	13.662
1.7902	5.0	2635	2.0089	10.3812	13.7352
1.7793	6.0	3162	2.0100	10.4598	13.7103
1.7754	7.0	3689	2.0091	10.4524	13.6598
1.7686	8.0	4216	2.0050	10.4623	13.674
1.7706	9.0	4743	1.9850	10.5107	13.67
1.7755	10.0	5270	1.9915	10.3156	13.7832

Framework versions

• Transformers 4.37.2
• Pytorch 2.2.2+cu118
• Datasets 2.18.0
• Tokenizers 0.15.1