T5_mrqa_v1

enriquesaou/T5_mrqa_v1

T5_mrqa_v1 is a machine learning model from enriquesaou. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: May 30, 2024
Updated: May 30, 2024
SHA: 27ffc4e7

Base models

google/flan-t5-small

Model card

From the Hugging Face model README

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

Library: transformers
Type: t5
License: apache-2.0
Created: May 30, 2024
Updated: May 30, 2024