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t5-moe-top4-4-rte – AI Model by lightsout19 | AlphaNeural AI
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t5-moe-top4-4-rte
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transformers
tensorboard
safetensors
t5
generated_from_trainer
text-generation-inference
endpoints_compatible
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t5-moe-top4-4-rte
This model is a fine-tuned version of
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.7218
Accuracy: 0.5307
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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
78
0.6975
0.5271
No log
2.0
156
0.7311
0.5054
No log
3.0
234
0.7190
0.5487
No log
4.0
312
0.7579
0.4838
No log
5.0
390
0.7456
0.5018
Framework versions
Transformers 4.45.1
Pytorch 2.4.0
Datasets 3.0.1
Tokenizers 0.20.0
