bart-cnn-science-v3-e3 – AI Model by theojolliffe | AlphaNeural AI

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bart-cnn-science-v3-e3

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bart-cnn-science-v3-e3

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

Loss: 0.8586
Rouge1: 53.3497
Rouge2: 34.0001
Rougel: 35.6149
Rougelsum: 50.5723
Gen Len: 141.3519

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: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	398	0.9977	51.8104	31.5395	33.6887	49.2385	142.0
1.1785	2.0	796	0.8875	53.7817	34.5394	35.9556	51.3317	141.537
0.7376	3.0	1194	0.8586	53.3497	34.0001	35.6149	50.5723	141.3519

Framework versions

Transformers 4.19.2
Pytorch 1.11.0+cu113
Datasets 2.2.2
Tokenizers 0.12.1