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wiki_lingua-hi-8-3-5.6e-05-mt5-small-finetuned – AI Model by lixiqi | AlphaNeural AI
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wiki_lingua-hi-8-3-5.6e-05-mt5-small-finetuned
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transformers
pytorch
tensorboard
mt5
text2text-generation
summarization
generated_from_trainer
wiki_lingua
apache-2.0
model-index
endpoints_compatible
us
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wiki_lingua-hi-8-3-5.6e-05-mt5-small-finetuned
This model is a fine-tuned version of
google/mt5-small
on the wiki_lingua dataset. It achieves the following results on the evaluation set:
Loss: 2.4454
Rouge1: 1.3405
Rouge2: 0.3957
Rougel: 1.3311
Rougelsum: 1.3354
Baseline Result
Rouge1: 4.18
Rouge2: 1.31
Rougel: 4.08
Rougelsum: 4.07
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
4.5276
1.0
841
2.5614
1.3305
0.3186
1.3393
1.345
3.0712
2.0
1682
2.4707
1.2656
0.2856
1.2595
1.2631
2.9584
3.0
2523
2.4454
1.3405
0.3957
1.3311
1.3354
Framework versions
Transformers 4.27.4
Pytorch 1.13.0
Datasets 2.1.0
Tokenizers 0.13.2
