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theojolliffe/
bart-cnn-science-v3-e5-v4-e6-manual

Name: bart-cnn-science-v3-e5-v4-e6-manual
Availability: InStock

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bart-cnn-science-v3-e5-v4-e6-manual

This model is a fine-tuned version of theojolliffe/bart-cnn-science-v3-e5 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.8609
Rouge1: 54.0982
Rouge2: 36.1022
Rougel: 36.9584
Rougelsum: 52.5383
Gen Len: 142.0

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: 2
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 6
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	42	0.7022	56.9307	38.2717	39.9091	53.9037	142.0
No log	2.0	84	0.6840	50.7036	29.9002	33.0298	47.8775	142.0
No log	3.0	126	0.7179	52.8561	32.2202	35.7914	51.0248	142.0
No log	4.0	168	0.8149	54.8457	36.4705	35.931	52.4241	142.0
No log	5.0	210	0.8330	55.6746	37.8316	36.9614	54.3022	142.0
No log	6.0	252	0.8609	54.0982	36.1022	36.9584	52.5383	142.0

Framework versions

Transformers 4.20.0
Pytorch 1.11.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1

theojolliffe/bart-cnn-science-v3-e5-v4-e6-manual

bart-cnn-science-v3-e5-v4-e6-manual

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

theojolliffe/
bart-cnn-science-v3-e5-v4-e6-manual