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rat-t5-base-grounded-qdmr – AI Model by MatthisHoules | AlphaNeural AI
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MatthisHoules
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rat-t5-base-grounded-qdmr
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transformers
pytorch
t5
text2text-generation
generated_from_trainer
google-t5/t5-base
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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rat-t5-base-grounded-qdmr
This model is a fine-tuned version of
t5-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1484
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: 5e-05
train_batch_size: 1
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 2
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 20000
Training results
Training Loss
Epoch
Step
Validation Loss
0.7653
0.23
500
0.3142
0.3222
0.46
1000
0.2488
0.251
0.69
1500
0.2092
0.2087
0.92
2000
0.1796
0.1651
1.16
2500
0.1590
0.1454
1.39
3000
0.1455
0.1359
1.62
3500
0.1484
Framework versions
Transformers 4.32.1
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3
