t5-base-squad-qag-b – AI Model by devagonal | AlphaNeural AI | AlphaNeural AI

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devagonal/
t5-base-squad-qag-b

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text2text-generation

generated_from_trainer

google-t5/t5-base

text-generation-inference

endpoints_compatible

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t5-base-squad-qag-b

This model is a fine-tuned version of t5-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 16.4900

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: 1e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
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: 10

Training results

Training Loss	Epoch	Step	Validation Loss
15.4767	0.5714	1	19.7375
22.2253	1.5714	2	19.0585
21.1788	2.5714	3	18.5133
21.3016	3.5714	4	18.0134
20.3052	4.5714	5	17.5808
19.7086	5.5714	6	17.2109
19.4675	6.5714	7	16.9223
19.3453	7.5714	8	16.7059
18.5491	8.5714	9	16.5610
18.5816	9.5714	10	16.4900

Framework versions

Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.3.0
Tokenizers 0.21.0