t5-small-finetuned-sample_data_model

Nisit-Tripathi/t5-small-finetuned-sample_data_model

t5-small-finetuned-sample_data_model is a machine learning model from Nisit-Tripathi. 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: Feb 29, 2024
Updated: Mar 1, 2024
SHA: 2401eb06

Base models

Model card

From the Hugging Face model README

t5-small-finetuned-sample_data_model

This model is a fine-tuned version of t5-small on an unknown dataset.

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

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Hashcode	Gen Len
No log	1.0	7	9.5280	[0.8997220993041992, 0.9043538570404053, 0.8997220993041992, 0.9043538570404053, 0.8997220993041992, 0.9043538570404053, 0.8997220993041992, 0.9043538570404053, 0.8997220993041992, 0.9043538570404053, 0.8997220993041992, 0.9043538570404053, 0.8997220993041992, 0.9043538570404053, 0.8997220993041992, 0.9043538570404053, 0.8997220993041992, 0.9043538570404053, 0.8997220993041992, 0.9043538570404053, 0.8997220993041992, 0.9043538570404053, 0.8997220993041992, 0.9043538570404053, 0.8997220993041992, 0.9043538570404053, 0.8997220993041992, 0.9043538570404053, 0.8997220993041992, 0.9043538570404053, 0.8997220993041992, 0.9043538570404053, 0.8997220993041992, 0.9043538570404053, 0.8997220993041992, 0.9043538570404053, 0.8997220993041992, 0.9043538570404053, 0.8997220993041992, 0.9043538570404053, 0.8997220993041992, 0.9043538570404053, 0.8997220993041992, 0.9043538570404053, 0.8997220993041992, 0.9043538570404053, 0.8997220993041992, 0.9043538570404053, 0.8997220993041992, 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Framework versions

Transformers 4.38.2
Pytorch 2.1.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2

Library: transformers
Type: t5
License: apache-2.0
Created: Feb 29, 2024
Updated: Mar 1, 2024