mbart_cnn_summarization_model_1K_4ep_1.2e-4_batch_8 – AI Model by NastasiaM | AlphaNeural AI

You can deploy this model and start earning money today!

NastasiaM/
mbart_cnn_summarization_model_1K_4ep_1.2e-4_batch_8

like

0

text2text-generation

generated_from_trainer

facebook/mbart-large-50

endpoints_compatible

Views

No views yet

mbart_cnn_summarization_model_1K_4ep_1.2e-4_batch_8

This model is a fine-tuned version of facebook/mbart-large-50 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.4909
Rouge1: 0.3958
Rouge2: 0.1734
Rougel: 0.2816
Rougelsum: 0.281
Gen Len: 69.9

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: 0.00012
train_batch_size: 8
eval_batch_size: 8
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: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	125	1.8959	0.3889	0.1683	0.2811	0.2804	66.13
No log	2.0	250	1.8849	0.3939	0.1713	0.2785	0.2779	74.64
No log	3.0	375	2.1092	0.3862	0.1632	0.2765	0.2757	66.53
1.1119	4.0	500	2.4909	0.3958	0.1734	0.2816	0.281	69.9

Framework versions

Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.6.0
Tokenizers 0.22.2