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t5small-news – AI Model by Ujjawal4 | AlphaNeural AI
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Ujjawal4
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t5small-news
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safetensors
t5
generated_from_trainer
google-t5/t5-small
finetune
apache-2.0
us
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t5small-news
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: 2.6912
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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
3.0583
0.1779
500
2.8171
3.0289
0.3558
1000
2.7351
2.9362
0.5337
1500
2.7105
3.0041
0.7116
2000
2.6944
2.9094
0.8894
2500
2.6912
Framework versions
Transformers 4.44.0
Pytorch 2.4.0
Datasets 2.21.0
Tokenizers 0.19.1
