100pos_model

jvalline/100pos_model

100pos_model is a machine learning model from jvalline. 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 11, 2024
Updated: Mar 11, 2024
SHA: 0c36a158

Base models

Model card

From the Hugging Face model README

100pos_model

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

Loss: nan
Bleu: 0.0
Wer: 1.0
Rougel: 0.0
Gen Len: 0.0

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: 2
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
5.5242	0.16	1000	nan	1.0
0.0	0.32	2000	nan	1.0
0.0	0.48	3000	nan	1.0
0.0	0.64	4000	nan	1.0
0.0	0.8	5000	nan	1.0
0.0	0.96	6000	nan	1.0
0.0	1.12	7000	nan	1.0
0.0	1.28	8000	nan	1.0
0.0	1.44	9000	nan	1.0
0.0	1.6	10000	nan	1.0
0.0	1.76	11000	nan	1.0
0.0	1.92	12000	nan	1.0

Framework versions

Transformers 4.37.1
Pytorch 2.3.0.dev20240122+cu121
Datasets 2.16.1
Tokenizers 0.15.1

Library: transformers
Type: t5
License: apache-2.0
Created: Mar 11, 2024
Updated: Mar 11, 2024