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t5-base_ep_2_bz_32_dt_vnx_dev_hydra_1751820588_ – AI Model by tihonn | AlphaNeural AI
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tihonn
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t5-base_ep_2_bz_32_dt_vnx_dev_hydra_1751820588_
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transformers
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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t5-base_ep_2_bz_32_dt_vnx_dev_hydra_1751820588_
This model is a fine-tuned version of
t5-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 5.8174
Rouge1: 23.6107
Rouge2: 6.5529
Rougel: 15.7656
Rougelsum: 16.5394
Gen Len: 17.8858
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
No log
1.0
83
5.9561
21.7564
6.225
14.6976
15.6413
18.7531
No log
2.0
166
5.8174
23.6107
6.5529
15.7656
16.5394
17.8858
Framework versions
Transformers 4.53.1
Pytorch 2.7.1+cu128
Datasets 3.6.0
Tokenizers 0.21.2
