led-risalah_data_v11 – AI Model by silmi224 | AlphaNeural AI

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silmi224/
led-risalah_data_v11

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text2text-generation

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silmi224/finetune-led-35000

endpoints_compatible

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led-risalah_data_v11

This model is a fine-tuned version of silmi224/finetune-led-35000 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.6843
Rouge1 Precision: 0.7035
Rouge1 Recall: 0.1205
Rouge1 Fmeasure: 0.2038

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
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 8
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1 Precision	Rouge1 Recall	Rouge1 Fmeasure
2.6071	0.9714	17	1.8938	0.6021	0.1074	0.1803
1.745	2.0	35	1.7661	0.7095	0.1174	0.1994
1.5717	2.9714	52	1.7251	0.6704	0.1176	0.1968
1.4921	4.0	70	1.6772	0.7014	0.1175	0.1986
1.3932	4.9714	87	1.6745	0.7008	0.1187	0.2011
1.3002	6.0	105	1.6869	0.6913	0.1196	0.2012
1.2784	6.9714	122	1.6857	0.7114	0.1246	0.2097
1.1779	7.7714	136	1.6843	0.7035	0.1205	0.2038

Framework versions

Transformers 4.41.2
Pytorch 2.1.2
Datasets 2.19.2
Tokenizers 0.19.1