results

SophieTr/results

results is a machine learning model from SophieTr. 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.

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
Model type: pegasus
Access: Public
Created: Mar 2, 2022
Updated: Dec 28, 2021
SHA: 62c52cf9

Model card

From the Hugging Face model README

results

This model is a fine-tuned version of sshleifer/distill-pegasus-xsum-16-4 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.4473

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: 5e-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
lr_scheduler_warmup_steps: 500
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
7.2378	0.51	100	7.1853
7.2309	1.01	200	6.6342
6.4796	1.52	300	6.3206
6.2691	2.02	400	6.0184
5.7382	2.53	500	5.5754
4.9922	3.03	600	4.5178
3.6031	3.54	700	2.8579
2.5203	4.04	800	2.4718
2.2563	4.55	900	2.4128
2.1425	5.05	1000	2.3767
2.004	5.56	1100	2.3982
2.0437	6.06	1200	2.3787
1.9407	6.57	1300	2.3952
1.9194	7.07	1400	2.3964
1.758	7.58	1500	2.4056
1.918	8.08	1600	2.4101
1.9162	8.59	1700	2.4085
1.8983	9.09	1800	2.4058
1.6939	9.6	1900	2.4050

Framework versions

Transformers 4.12.5
Pytorch 1.10.0+cu111
Datasets 1.15.1
Tokenizers 0.10.3

Library: transformers
Type: pegasus
Created: Mar 2, 2022
Updated: Dec 28, 2021