100K_sample_model

ShrJatin/100K_sample_model

100K_sample_model is a machine learning model from ShrJatin. 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: Apr 2, 2023
Updated: Apr 3, 2023
SHA: 64495744

Datasets

wmt16

Model card

From the Hugging Face model README

100K_sample_model

This model is a fine-tuned version of t5-small on the wmt16 dataset. It achieves the following results on the evaluation set:

Loss: 1.2624
Bleu: 13.0723
Gen Len: 17.5159

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
1.2605	1.0	12500	1.2595	13.0452	17.503
1.2728	2.0	25000	1.2596	13.049	17.5154
1.2437	3.0	37500	1.2624	13.0723	17.5159

Framework versions

Transformers 4.27.4
Pytorch 2.0.0+cu117
Datasets 2.11.0
Tokenizers 0.13.2

Library: transformers
Type: t5
License: apache-2.0
Created: Apr 2, 2023
Updated: Apr 3, 2023