normal_en_to_poe_translator

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

• Loss: 1.0203
• Bleu: 17.4122
• Gen Len: 16.9451

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: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
1.3708	1.0	1182	1.2112	16.0712	16.9251
1.2776	2.0	2364	1.1458	16.5284	16.9233
1.2014	3.0	3546	1.1060	16.7928	16.9259
1.1637	4.0	4728	1.0783	16.9978	16.9317
1.1436	5.0	5910	1.0587	17.131	16.936
1.109	6.0	7092	1.0427	17.2265	16.9386
1.0912	7.0	8274	1.0324	17.2943	16.938
1.0751	8.0	9456	1.0257	17.3605	16.9432
1.0642	9.0	10638	1.0216	17.395	16.9426
1.0567	10.0	11820	1.0203	17.4122	16.9451

Framework versions

• Transformers 4.28.1
• Pytorch 2.0.0+cu118
• Datasets 2.11.0
• Tokenizers 0.13.3