bart-base-finetuned-BBC – AI Model by TrungNhan | AlphaNeural AI

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TrungNhan/
bart-base-finetuned-BBC

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facebook/bart-base

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bart-base-finetuned-BBC

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

Loss: 0.3203
Rouge1: 0.3006
Rouge2: 0.2645
Rougel: 0.2941
Rougelsum: 0.2956

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: 5.6e-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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
No log	1.0	60	0.3115	0.3009	0.2636	0.2917	0.2936
0.0302	2.0	120	0.3519	0.3039	0.2666	0.2962	0.2977
0.0302	3.0	180	0.3323	0.303	0.2655	0.2948	0.2964
0.0234	4.0	240	0.3241	0.3028	0.2661	0.2961	0.2978
0.0234	5.0	300	0.3288	0.299	0.2628	0.2925	0.2936
0.019	6.0	360	0.3218	0.3003	0.2645	0.2937	0.2956
0.019	7.0	420	0.3224	0.3024	0.266	0.2956	0.297
0.0189	8.0	480	0.3274	0.3028	0.2672	0.2969	0.2986
0.0189	9.0	540	0.3159	0.3026	0.2666	0.2959	0.2976
0.0177	10.0	600	0.3203	0.3006	0.2645	0.2941	0.2956

Framework versions

Transformers 4.40.2
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.19.1