t-5_small_test_1

jgibb/t-5_small_test_1

t-5_small_test_1 is a machine learning model from jgibb. 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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Hugging Face

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At a glance

Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: Mar 10, 2024
Updated: Mar 15, 2024
SHA: 8f436668

Base models

Model card

From the Hugging Face model README

t-5_small_test_1

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

Loss: 1.5834

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: 6
eval_batch_size: 6
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.13	250	1.7761
2.4142	0.27	500	1.6787
2.4142	0.4	750	1.6290
1.7827	0.53	1000	1.6063
1.7827	0.66	1250	1.5961
1.721	0.8	1500	1.5874
1.721	0.93	1750	1.5834

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Library: transformers
Type: t5
License: apache-2.0
Created: Mar 10, 2024
Updated: Mar 15, 2024