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T5_small_mslr2022_cochrane_finetuned – AI Model by Jayicebear | AlphaNeural AI
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T5_small_mslr2022_cochrane_finetuned
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transformers
pytorch
t5
text2text-generation
generated_from_trainer
mslr2022
google-t5/t5-small
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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Model card
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T5results
This model is a fine-tuned version of
t5-small
on the mslr2022 dataset. It achieves the following results on the evaluation set:
Loss: 1.2187
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
1.0546
1.0
469
1.2336
1.0636
2.0
938
1.2225
1.1954
3.0
1407
1.2187
Framework versions
Transformers 4.31.0
Pytorch 2.1.0
Datasets 2.15.0
Tokenizers 0.13.3
