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t5-large-qdmr-grounded-with-db – AI Model by MatthisHoules | AlphaNeural AI
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MatthisHoules
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t5-large-qdmr-grounded-with-db
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transformers
tensorboard
safetensors
t5
text2text-generation
generated_from_trainer
google-t5/t5-large
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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t5-large-qdmr-grounded-with-db
This model is a fine-tuned version of
t5-large
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1100
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
0.2122
0.2312
500
0.1902
0.1786
0.4624
1000
0.1430
0.146
0.6936
1500
0.1148
0.1223
0.9249
2000
0.1092
0.0976
1.1561
2500
0.1100
Framework versions
Transformers 4.40.2
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1
