result_model – AI Model by abhinavagg2002 | AlphaNeural AI

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abhinavagg2002/
result_model

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text2text-generation

generated_from_trainer

facebook/bart-large

endpoints_compatible

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result_model

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

Loss: 1.3277
Rouge1: 0.2511
Rouge2: 0.2078
Rougel: 0.2442
Rougelsum: 0.2449
Gen Len: 20.9949

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: 4
eval_batch_size: 4
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
1.6914	1.0	1895	1.4239	0.2484	0.2019	0.2408	0.2413	21.0
1.4271	2.0	3790	1.3606	0.2514	0.2065	0.2439	0.2448	20.9857
1.2858	3.0	5685	1.3306	0.2501	0.2069	0.2429	0.2437	21.0
1.196	4.0	7580	1.3277	0.2511	0.2078	0.2442	0.2449	20.9949

Framework versions

Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0