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Evidence_Retrieval_vit5_base – AI Model by tringuyen-uit | AlphaNeural AI
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Evidence_Retrieval_vit5_base
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transformers
tensorboard
safetensors
t5
question-answering
generated_from_trainer
VietAI/vit5-base
finetune
mit
text-generation-inference
endpoints_compatible
us
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Evidence_Retrieval_model_400
This model is a fine-tuned version of
VietAI/vit5-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.4122
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
0.5384
1.0
1047
0.4676
0.3382
2.0
2094
0.3820
0.2546
3.0
3141
0.4122
Framework versions
Transformers 4.38.2
Pytorch 2.1.2
Datasets 2.1.0
Tokenizers 0.15.2
