T5_mrqa_fast_learner – AI Model by enriquesaou | AlphaNeural AI

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enriquesaou/
T5_mrqa_fast_learner

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text2text-generation

generated_from_trainer

google/flan-t5-small

text-generation-inference

endpoints_compatible

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T5_mrqa_fast_learner

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

Loss: 0.8387

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: 0.0002
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 9

Training results

Training Loss	Epoch	Step	Validation Loss
0.9917	1.0	500	0.7513
0.7799	2.0	1000	0.7524
0.6705	3.0	1500	0.7539
0.5894	4.0	2000	0.7659
0.5239	5.0	2500	0.7906
0.4808	6.0	3000	0.8057
0.4391	7.0	3500	0.8203
0.4156	8.0	4000	0.8283
0.3974	9.0	4500	0.8387

Framework versions

Transformers 4.42.0.dev0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1