results_t5small

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

• Loss: 2.6267
• Rouge1: 0.1691
• Rouge2: 0.056
• Rougel: 0.1335
• Rougelsum: 0.1335
• Gen Len: 19.0

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: 12
• eval_batch_size: 12
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.949	0.3600	3000	2.7734	0.163	0.0518	0.1288	0.1288	19.0
2.7735	0.7199	6000	2.6960	0.1702	0.0564	0.1344	0.1344	19.0
2.5929	1.0799	9000	2.6597	0.1709	0.0561	0.1344	0.1344	19.0
2.5929	1.4399	12000	2.6367	0.171	0.0571	0.1351	0.1351	19.0
2.7777	1.7999	15000	2.6267	0.1691	0.056	0.1335	0.1335	19.0

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.1+cu121
• Datasets 3.2.0
• Tokenizers 0.19.1