sharmax-vikas/fintuned-t5-cnn_dailymail

output

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

• Loss: 2.1258
• Rouge1: 24.8994
• Rouge2: 9.5374
• Rougel: 20.2359
• Rougelsum: 22.8996
• Gen Len: 20.0

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: 0.0001
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	375	2.1295	24.6115	9.4396	19.9003	22.5287	20.0
2.1028	2.0	750	2.1265	24.2891	9.1501	19.6428	22.3081	20.0
2.0413	3.0	1125	2.1258	24.8994	9.5374	20.2359	22.8996	20.0

Framework versions

• Transformers 4.52.4
• Pytorch 2.6.0+cu124
• Datasets 3.6.0
• Tokenizers 0.21.2