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htdung167/
faqsum_fine-tune_vietai_vipubmedt5-base_4epochs_v1

Name: faqsum_fine-tune_vietai_vipubmedt5-base_4epochs_v1
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faqsum_fine-tune_vietai_vipubmedt5-base_4epochs_v1

This model is a fine-tuned version of htdung167/VietAI_ViPubmedT5_t5x_converted on the None dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

learning_rate: 0.0002
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: constant
num_epochs: 4

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.1558	0.4006	133	1.1219	0.7022	0.5538	0.6592	0.6598	28.6471
1.136	0.8012	266	1.0128	0.7085	0.5623	0.6703	0.6706	25.417
0.8667	1.2018	399	1.0023	0.724	0.5806	0.6855	0.6859	15.9434
0.7045	1.6024	532	0.9938	0.7213	0.5804	0.6837	0.6843	19.3982
0.8247	2.0030	665	0.9750	0.727	0.5841	0.6878	0.6877	17.0151
0.6886	2.4036	798	0.9992	0.7242	0.5792	0.6826	0.6829	16.7345
0.7363	2.8042	931	0.9992	0.7234	0.5756	0.6812	0.6815	17.7134
0.4797	3.2048	1064	1.0674	0.7295	0.585	0.6907	0.6912	15.6961
0.4926	3.6054	1197	1.0506	0.725	0.5785	0.684	0.6849	16.2157