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mt5-base-finetuned-onet – AI Model by Adamas23 | AlphaNeural AI
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Adamas23
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mt5-base-finetuned-onet
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transformers
tensorboard
safetensors
mt5
text2text-generation
generated_from_trainer
google/mt5-base
finetune
apache-2.0
endpoints_compatible
us
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mt5-base-finetuned-onet
This model is a fine-tuned version of
google/mt5-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: nan
Rouge1: 6.336
Rouge2: 0.8465
Rougel: 5.8139
Rougelsum: 5.894
Gen Len: 13.204
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: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
0.0
1.0
999
nan
6.336
0.8465
5.8139
5.894
13.204
Framework versions
Transformers 4.36.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0
