scifive_ten_epoch

This model is a fine-tuned version of razent/SciFive-base-Pubmed_PMC on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.7913
• Rouge1: 0.366
• Rouge2: 0.2107
• Rougel: 0.3132
• Rougelsum: 0.3131
• Gen Len: 17.33

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: 4
• eval_batch_size: 2
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	275	2.2002	0.2752	0.1436	0.2395	0.24	17.32
2.3887	2.0	550	1.9610	0.347	0.2007	0.2959	0.2961	17.73
2.3887	3.0	825	1.8986	0.3664	0.2121	0.3098	0.3101	17.5
1.7972	4.0	1100	1.8486	0.3805	0.2309	0.3267	0.327	17.1
1.7972	5.0	1375	1.8232	0.372	0.2178	0.313	0.313	17.64
1.6528	6.0	1650	1.8005	0.3836	0.2271	0.3208	0.3209	17.44
1.6528	7.0	1925	1.7969	0.3821	0.2278	0.3251	0.3253	17.25
1.5676	8.0	2200	1.7872	0.3806	0.2242	0.3224	0.323	17.3
1.5676	9.0	2475	1.7888	0.3697	0.2135	0.3135	0.3133	17.36
1.5288	10.0	2750	1.7913	0.366	0.2107	0.3132	0.3131	17.33

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu121
• Datasets 2.16.1
• Tokenizers 0.15.1