ctrlsum-led-large-cnndm

alshelt/ctrlsum-led-large-cnndm

ctrlsum-led-large-cnndm is a machine learning model from alshelt. 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: led
Access: Public
Created: Jun 6, 2024
Updated: Jul 20, 2024
SHA: 741ad76e

Model card

From the Hugging Face model README

led-large

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1850

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: 3e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 64
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: polynomial
lr_scheduler_warmup_steps: 500
training_steps: 20000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.1479	0.11	500	0.1901
0.1442	0.22	1000	0.1917
0.1466	0.33	1500	0.1959
0.1447	0.45	2000	0.1918
0.1633	0.56	2500	0.1874
0.171	0.67	3000	0.1849
0.1662	0.78	3500	0.1843
0.1743	0.89	4000	0.1837
0.1492	1.0	4500	0.1842
0.1515	1.11	5000	0.1849
0.1497	1.23	5500	0.1840
0.1515	1.34	6000	0.1839
0.1482	1.45	6500	0.1841
0.145	1.56	7000	0.1849
0.1467	1.67	7500	0.1824
0.1509	1.78	8000	0.1809
0.15	1.89	8500	0.1832
0.1383	2.01	9000	0.1831
0.1331	2.12	9500	0.1820
0.1406	2.23	10000	0.1830
0.1362	2.34	10500	0.1844
0.1373	2.45	11000	0.1836
0.1269	2.56	11500	0.1842
0.1362	2.67	12000	0.1819
0.14	2.79	12500	0.1832
0.1319	2.9	13000	0.1837
0.1304	3.01	13500	0.1845
0.1278	3.12	14000	0.1844
0.1235	3.23	14500	0.1832
0.1293	3.34	15000	0.1855
0.1302	3.45	15500	0.1836
0.1285	3.57	16000	0.1860
0.1274	3.68	16500	0.1860
0.1261	3.79	17000	0.1854
0.1304	3.9	17500	0.1859
0.1223	4.01	18000	0.1862
0.1235	4.12	18500	0.1849
0.1286	4.23	19000	0.1858
0.1186	4.35	19500	0.1856
0.1293	4.46	20000	0.1850

Framework versions

Transformers 4.37.2
Pytorch 2.2.2+cu121
Datasets 2.18.0
Tokenizers 0.15.1

Library: transformers
Type: led
Created: Jun 6, 2024
Updated: Jul 20, 2024