qamirov1

hr-wesbeaver/qamirov1

qamirov1 is a machine learning model from hr-wesbeaver. 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 4, 2024
Updated: Apr 4, 2024
SHA: bbc66a3c

Base models

Model card

From the Hugging Face model README

qamirov1

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

Loss: 0.1716
Rouge1: 0.9244
Rouge2: 0.8518
Rougel: 0.9168
Gen Len: 71.9059

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: 0.0004
train_batch_size: 12
eval_batch_size: 12
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Gen Len
No log	1.64	100	0.2216	0.8978	0.7913	0.8814	71.9059
No log	3.28	200	0.1985	0.9109	0.8189	0.8973	71.9059
No log	4.92	300	0.1805	0.9175	0.8394	0.9089	71.9059
No log	6.56	400	0.1782	0.924	0.8511	0.9155	71.9059
No log	8.2	500	0.1691	0.9257	0.855	0.9179	71.9059
No log	9.84	600	0.1716	0.9244	0.8518	0.9168	71.9059

Framework versions

Transformers 4.39.3
Pytorch 2.2.2+cu121
Datasets 2.16.1
Tokenizers 0.15.2

Library: transformers
Type: t5
License: apache-2.0
Created: Apr 4, 2024
Updated: Apr 4, 2024