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t5-large-lora-4.72M-snli – AI Model by varun-v-rao | AlphaNeural AI
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t5-large-lora-4.72M-snli
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transformers
tensorboard
safetensors
t5
text-classification
generated_from_trainer
google-t5/t5-large
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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t5-large-lora-4.72M-snli
This model is a fine-tuned version of
t5-large
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.6356
Accuracy: 0.7945
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: 128
eval_batch_size: 128
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
Accuracy
0.3516
1.0
4292
0.2753
0.9041
0.3315
2.0
8584
0.2624
0.9077
0.3283
3.0
12876
0.2595
0.9101
Framework versions
Transformers 4.35.2
Pytorch 2.0.1+cu118
Datasets 2.15.0
Tokenizers 0.15.0
