t5small_contracts

mjbeattie/t5small_contracts

t5small_contracts is a machine learning model from mjbeattie. 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: Mar 28, 2023
Updated: Mar 28, 2023
SHA: d26d07fd

Model card

From the Hugging Face model README

t5small_contracts

This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.9521
Rouge1: 0.2926
Rouge2: 0.1622
Rougel: 0.2568
Rougelsum: 0.2549
Gen Len: 18.4146

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
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	11	3.3928	0.2931	0.1602	0.2571	0.255	18.5122
No log	2.0	22	3.1343	0.2951	0.1632	0.2593	0.2565	18.4146
No log	3.0	33	3.0073	0.2919	0.1617	0.2563	0.2541	18.4146
No log	4.0	44	2.9521	0.2926	0.1622	0.2568	0.2549	18.4146

Framework versions

Transformers 4.26.1
Pytorch 1.13.1
Datasets 2.10.0
Tokenizers 0.11.0

Library: transformers
Type: t5
License: apache-2.0
Created: Mar 28, 2023
Updated: Mar 28, 2023