bart-base-finetuned-1000data-Lp6 – AI Model by Ryandro | AlphaNeural AI

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Ryandro/
bart-base-finetuned-1000data-Lp6

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text2text-generation

generated_from_trainer

facebook/bart-base

endpoints_compatible

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bart-base-finetuned-1000data-Lp6

This model is a fine-tuned version of facebook/bart-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.6435
Rouge1: 17.9248
Rouge2: 8.8677
Rougel: 17.057
Rougelsum: 17.3191
Gen Len: 21.0

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: 0.0002
train_batch_size: 2
eval_batch_size: 2
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	450	1.8211	14.8581	7.3761	14.1781	14.4263	21.0
2.4645	2.0	900	1.7657	16.6816	7.6788	15.6467	16.0074	21.0
1.6382	3.0	1350	1.6435	17.9248	8.8677	17.057	17.3191	21.0

Framework versions

Transformers 4.55.2
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.21.4