rat-t5-large-qdmr-grounded-with-db-v2

MatthisHoules/rat-t5-large-qdmr-grounded-with-db-v2

rat-t5-large-qdmr-grounded-with-db-v2 is a machine learning model from MatthisHoules. 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: Sep 10, 2023
Updated: Sep 10, 2023
SHA: deb4ad9e

Base models

Model card

From the Hugging Face model README

rat-t5-large-qdmr-grounded-with-db-v2

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

Loss: 0.0994

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: 5e-05
train_batch_size: 1
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 2
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 20000

Training results

Training Loss	Epoch	Step	Validation Loss
0.5239	0.23	500	0.2421
0.2233	0.46	1000	0.1800
0.1734	0.69	1500	0.1397
0.1466	0.92	2000	0.1268
0.1092	1.16	2500	0.1153
0.094	1.39	3000	0.1078
0.0933	1.62	3500	0.1035
0.0947	1.85	4000	0.0924
0.0799	2.08	4500	0.0994

Framework versions

Transformers 4.33.1
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3

Library: transformers
Type: t5
License: apache-2.0
Created: Sep 10, 2023
Updated: Sep 10, 2023