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results – AI Model by nlpllm007 | AlphaNeural AI
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nlpllm007
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transformers
tensorboard
safetensors
t5
text2text-generation
generated_from_trainer
google-t5/t5-base
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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This model is a fine-tuned version of
t5-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.9081
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: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 10
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
3.9289
0.32
10
3.2381
3.5665
0.64
20
2.7374
3.6622
0.96
30
2.4842
2.6751
1.28
40
2.2607
2.649
1.6
50
2.1196
2.3201
1.92
60
2.0067
2.2374
2.24
70
1.9490
2.1954
2.56
80
1.9210
2.3612
2.88
90
1.9081
Framework versions
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
