mbay_model

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

• Loss: 2.0621
• Bleu: 5.0201
• Gen Len: 14.5313

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
2.56	1.0	2479	2.3016	2.673	14.9178
2.4556	2.0	4958	2.2282	3.1563	15.0853
2.3879	3.0	7437	2.1786	3.5498	14.9548
2.3574	4.0	9916	2.1417	4.0704	15.0213
2.3192	5.0	12395	2.1145	4.4057	15.0418
2.3068	6.0	14874	2.0944	4.5467	14.9812
2.2855	7.0	17353	2.0796	4.7223	14.7415
2.2584	8.0	19832	2.0701	4.7772	14.5867
2.2302	9.0	22311	2.0637	4.9559	14.6012
2.2502	10.0	24790	2.0621	5.0201	14.5313

Framework versions

• Transformers 4.33.1
• Pytorch 2.0.1+cu118
• Datasets 2.14.5
• Tokenizers 0.13.3