BART-commongen – AI Model by sibyl | AlphaNeural AI

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sibyl/
BART-commongen

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text2text-generation

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BART-commongen

This model is a fine-tuned version of facebook/bart-base on the gem dataset. It achieves the following results on the evaluation set:

Loss: 1.1263
Spice: 0.4178

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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
training_steps: 6317

Training results

Training Loss	Epoch	Step	Validation Loss	Spice
9.0971	0.05	100	4.1336	0.3218
3.5348	0.09	200	1.5467	0.3678
1.5099	0.14	300	1.1280	0.3821
1.2395	0.19	400	1.1178	0.3917
1.1827	0.24	500	1.0919	0.4086
1.1545	0.28	600	1.1028	0.4035
1.1363	0.33	700	1.1021	0.4187
1.1156	0.38	800	1.1231	0.4103
1.1077	0.43	900	1.1221	0.4117
1.0964	0.47	1000	1.1169	0.4088
1.0704	0.52	1100	1.1143	0.4133
1.0483	0.57	1200	1.1085	0.4058
1.0556	0.62	1300	1.1059	0.4249
1.0343	0.66	1400	1.0992	0.4102
1.0123	0.71	1500	1.1126	0.4104
1.0108	0.76	1600	1.1140	0.4177
1.005	0.81	1700	1.1264	0.4078
0.9822	0.85	1800	1.1256	0.4158
0.9918	0.9	1900	1.1345	0.4118
0.9664	0.95	2000	1.1087	0.4073
0.9532	1.0	2100	1.1217	0.4063
0.8799	1.04	2200	1.1229	0.4115
0.8665	1.09	2300	1.1263	0.4178

Framework versions

Transformers 4.9.2
Pytorch 1.9.0+cu102
Datasets 1.11.1.dev0
Tokenizers 0.10.3