fine_tuned_t5_small_model-naive-firstapproach

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

• Loss: 3.3883
• Rouge1: 0.3966
• Rouge2: 0.1308
• Rougel: 0.2362
• Rougelsum: 0.236
• Gen Len: 231.6737
• Bert F1: 0.8385

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 4
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len	Bert F1
4.6189	1.0	95	3.5459	0.3918	0.124	0.2256	0.2254	201.7579	0.8382
3.7698	2.0	190	3.4353	0.3925	0.1292	0.2333	0.2333	221.0842	0.8381
3.6955	3.0	285	3.3999	0.3954	0.1313	0.2352	0.2352	231.1316	0.8382
3.6645	4.0	380	3.3883	0.3966	0.1308	0.2362	0.236	231.6737	0.8385

Framework versions

• Transformers 4.45.1
• Pytorch 2.4.0
• Datasets 3.0.1
• Tokenizers 0.20.0