T5_mrqa_v1 – AI Model by enriquesaou | AlphaNeural AI

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enriquesaou/
T5_mrqa_v1

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text2text-generation

generated_from_trainer

google/flan-t5-small

text-generation-inference

endpoints_compatible

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T5_mrqa_v1

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: 0.7807

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: 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
1.1447	1.0	500	0.8722
0.9972	2.0	1000	0.8261
0.9404	3.0	1500	0.8006
0.8905	4.0	2000	0.7903
0.8695	5.0	2500	0.7850
0.8562	6.0	3000	0.7811
0.8411	7.0	3500	0.7810
0.8252	8.0	4000	0.7810
0.8272	9.0	4500	0.7807

Framework versions

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