camembert2camembert_shared-finetuned-french-summarization_finetuned_20_06_14_46

This model is a fine-tuned version of mrm8488/camembert2camembert_shared-finetuned-french-summarization on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.4465
• Rouge1: 0.7331
• Rouge2: 0.481
• Rougel: 0.7332
• Rougelsum: 0.7331
• Gen Len: 6.5145

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: 2
• eval_batch_size: 2
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.3821	1.0	4000	0.4465	0.7331	0.481	0.7332	0.7331	6.5145

Framework versions

• Transformers 4.41.2
• Pytorch 2.3.0+cu121
• Datasets 2.19.2
• Tokenizers 0.19.1