summarize_model_2 – AI Model by Sudarshan00 | AlphaNeural AI

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Sudarshan00/
summarize_model_2

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text2text-generation

generated_from_trainer

facebook/bart-base

endpoints_compatible

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summarize_model_2

This model is a fine-tuned version of facebook/bart-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.9198
Rouge1: 0.2393
Rouge2: 0.1023
Rougel: 0.1976
Rougelsum: 0.2243
Gen Len: 20.0

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: 16
eval_batch_size: 16
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	100	1.9729	0.2374	0.099	0.1962	0.2216	20.0
No log	2.0	200	1.9565	0.2398	0.1018	0.1972	0.2238	20.0
No log	3.0	300	1.9241	0.2377	0.0991	0.1959	0.2215	20.0
No log	4.0	400	1.9198	0.2393	0.1023	0.1976	0.2243	20.0

Framework versions

Transformers 4.46.3
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3