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T5-gloss2text-finetuned – AI Model by Kelvin-GS | AlphaNeural AI
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Kelvin-GS
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T5-gloss2text-finetuned
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transformers
safetensors
t5
text2text-generation
generated_from_trainer
google-t5/t5-small
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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T5-gloss2text-finetuned
This model is a fine-tuned version of
google-t5/t5-small
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.6029
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: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
9.1860
1.0
4386
0.7495
7.4386
2.0
8772
0.6305
7.2389
3.0
13158
0.6029
Framework versions
Transformers 5.14.1
Pytorch 2.13.0+cu126
Datasets 5.0.0
Tokenizers 0.22.2
