meeting_summarizer_model

This model is a fine-tuned version of google-t5/t5-small on the dataset "huuuyeah/meetingbank". It achieves the following results on the evaluation set:

• Loss: 2.3916
• Rouge1: 0.3517
• Rouge2: 0.2684
• Rougel: 0.3353
• Rougelsum: 0.3363
• Gen Len: 18.7564

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: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	324	2.9030	0.2906	0.1982	0.2662	0.2663	18.9687
5.7333	2.0	648	2.5094	0.3313	0.2456	0.3132	0.3138	18.7506
5.7333	3.0	972	2.4188	0.3514	0.2673	0.3345	0.335	18.7749
3.9805	4.0	1296	2.3916	0.3517	0.2684	0.3353	0.3363	18.7564

Framework versions

• Transformers 4.39.3
• Pytorch 2.2.2
• Datasets 2.18.0
• Tokenizers 0.15.2