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umt5-small-finetuned-umt5-poemV1 – AI Model by shkna1368 | AlphaNeural AI
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shkna1368
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umt5-small-finetuned-umt5-poemV1
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transformers
tensorboard
safetensors
umt5
text2text-generation
generated_from_trainer
google/umt5-small
finetune
apache-2.0
endpoints_compatible
us
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umt5-small-finetuned-umt5-poemV1
This model is a fine-tuned version of
google/umt5-small
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: nan
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: 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: 10
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
282
nan
0.0
2.0
564
nan
0.0
3.0
846
nan
0.0
4.0
1128
nan
0.0
5.0
1410
nan
0.0
6.0
1692
nan
0.0
7.0
1974
nan
0.0
8.0
2256
nan
0.0
9.0
2538
nan
0.0
10.0
2820
nan
Framework versions
Transformers 4.40.2
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1