french-summariser – AI Model by redqueen01 | AlphaNeural AI

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redqueen01/
french-summariser

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text2text-generation

generated_from_trainer

facebook/mbart-large-50

endpoints_compatible

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model

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: 1.6487
Rouge1: 42.3336
Rouge2: 20.7191
Rougel: 35.3723
Rougelsum: 36.6877
Gen Len: 22.0905

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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 2
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.05
num_epochs: 4.0

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.8303	1.0	7366	1.6443	39.7314	18.4816	33.172	34.4741	20.1858
1.2425	2.0	14732	1.5719	41.4083	20.3324	35.0169	36.1426	21.3594
0.9629	3.0	22098	1.6487	42.3336	20.7191	35.3723	36.6877	22.0905
0.685	4.0	29464	1.8150	42.4421	19.9827	34.7409	36.2234	25.0416

Framework versions

Transformers 4.49.0
Pytorch 2.5.1+cu124
Datasets 3.3.2
Tokenizers 0.21.4