T5-as-chat-bot

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

• Loss: 2.2717

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: 20
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	187	2.4258
No log	2.0	374	2.3627
2.5802	3.0	561	2.3284
2.5802	4.0	748	2.3109
2.5802	5.0	935	2.2958
2.3212	6.0	1122	2.2850
2.3212	7.0	1309	2.2779
2.3212	8.0	1496	2.2726
2.1892	9.0	1683	2.2703
2.1892	10.0	1870	2.2689
2.111	11.0	2057	2.2683
2.111	12.0	2244	2.2672
2.111	13.0	2431	2.2655
2.0484	14.0	2618	2.2685
2.0484	15.0	2805	2.2703
2.0484	16.0	2992	2.2698
2.0019	17.0	3179	2.2699
2.0019	18.0	3366	2.2715
1.9803	19.0	3553	2.2719
1.9803	20.0	3740	2.2717

Framework versions

• Transformers 4.20.1
• Pytorch 1.12.0+cu113
• Datasets 2.3.2
• Tokenizers 0.12.1