t5-small-finetuned-vehidefe

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

• Loss: 1.2321
• Rouge1: 0.5062
• Rouge2: 0.129
• Rougel: 0.4421
• Rougelsum: 0.4549
• Gen Len: 0.6333

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: 6

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	27	6.3138	52.0293	34.0296	48.1309	48.2154	15.7417
No log	2.0	54	2.5506	38.203	24.615	35.4364	35.5338	12.3
No log	3.0	81	1.4362	9.2948	5.4495	8.4841	8.6202	4.4583
No log	4.0	108	1.2562	2.9686	1.4036	2.6236	2.7085	1.8917
No log	5.0	135	1.2336	0.9124	0.248	0.8012	0.8077	0.95
No log	6.0	162	1.2321	0.5062	0.129	0.4421	0.4549	0.6333

Framework versions

• Transformers 4.30.0
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.13.3