extract-mt-small – AI Model by arfu | AlphaNeural AI

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arfu/
extract-mt-small

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text2text-generation

generated_from_trainer

text-generation-inference

endpoints_compatible

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extract-mt-small

This model is a fine-tuned version of arfu/cn-mt-small on the generator dataset. It achieves the following results on the evaluation set:

Loss: 0.3417
Rouge1: 5.4167
Rouge2: 5.0
Rougel: 5.0
Rougelsum: 5.4167
Gen Len: 5.7667

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: 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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.1434	1.0	127	0.5071	5.8333	5.8333	5.8333	5.8333	6.2083
0.5765	2.0	254	0.4069	5.4167	5.0	5.0	5.4167	5.7167
0.4662	3.0	381	0.3842	5.4167	5.0	5.0	5.4167	5.725
0.4183	4.0	508	0.3748	5.4167	5.0	5.0	5.4167	5.85
0.3703	5.0	635	0.3417	5.4167	5.0	5.0	5.4167	5.7667

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2