readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: finetuned-mbert-to-mbert-french-financial-summarization
    results: []
  ---
  
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
  should probably proofread and complete it, then remove this comment. -->
  
  # finetuned-mbert-to-mbert-french-financial-summarization
  
  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.4519
  - Rouge1: 3.067
  - Rouge2: 1.6536
  - Rougel: 2.7033
  - Rougelsum: 2.8054
  - Gen Len: 20.0
  - Bertscore: 0.1204
  - Bartscore: 0.1073
  - Bleurt: -1.8577
  - Meteor: 0.0146
  - Frugal Score (mover-score): -0.3037
  - Frugal Score (bert-score): -0.3037
  - Cider: 0.0000
  - Infolm Kl Divergence: -10.7751
  - Infolm Alpha Divergence: -3.442
  - Infolm Beta Divergence: 8.373
  - Infolm Ab Divergence: 10.7449
  - Infolm Renyi Divergence: 1.5713
  - Infolm L1 Distance: 1.843
  - Infolm L2 Distance: 0.8354
  - Infolm L Infinity Distance: 0.8138
  - Infolm Fisher Rao Distance: 2.7293
  - Baryscore: 1.2182
  - Depthscore: 0.2059
  
  ## 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: 5e-05
  - train_batch_size: 8
  - eval_batch_size: 4
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_ratio: 0.1
  - num_epochs: 10.0
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | Bertscore | Bartscore | Bleurt  | Meteor | Frugal Score (mover-score) | Frugal Score (bert-score) | Cider  | Infolm Kl Divergence | Infolm Alpha Divergence | Infolm Beta Divergence | Infolm Ab Divergence | Infolm Renyi Divergence | Infolm L1 Distance | Infolm L2 Distance | Infolm L Infinity Distance | Infolm Fisher Rao Distance | Baryscore | Depthscore |
  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|:---------:|:---------:|:-------:|:------:|:--------------------------:|:-------------------------:|:------:|:--------------------:|:-----------------------:|:----------------------:|:--------------------:|:-----------------------:|:------------------:|:------------------:|:--------------------------:|:--------------------------:|:---------:|:----------:|
  | No log        | 1.0   | 282  | 3.2799          | 0.0    | 0.0    | 0.0    | 0.0       | 20.0    | 0.0       | 0.0307    | -2.0391 | 0.0    | -0.3936                    | -0.3936                   | 0.0    | -12.7015             | -3.8334                 | 9.8772                 | 12.626               | 1.8035                  | 1.9685             | 0.9914             | 0.9803                     | 2.9355                     | 1.2182    | 0.2059     |
  | 4.136         | 2.0   | 564  | 2.7653          | 0.0    | 0.0    | 0.0    | 0.0       | 20.0    | 0.0       | 0.0307    | -2.0391 | 0.0    | -0.3936                    | -0.3936                   | 0.0    | -12.7015             | -3.8334                 | 9.8772                 | 12.626               | 1.8035                  | 1.9685             | 0.9914             | 0.9803                     | 2.9355                     | 1.2182    | 0.2059     |
  | 4.136         | 3.0   | 846  | 2.5552          | 0.0    | 0.0    | 0.0    | 0.0       | 20.0    | 0.0       | 0.0307    | -2.0391 | 0.0    | -0.3936                    | -0.3936                   | 0.0    | -12.7015             | -3.8334                 | 9.8772                 | 12.626               | 1.8035                  | 1.9685             | 0.9914             | 0.9803                     | 2.9355                     | 1.2182    | 0.2059     |
  | 2.4949        | 4.0   | 1128 | 2.4636          | 0.0    | 0.0    | 0.0    | 0.0       | 20.0    | 0.0       | 0.0307    | -2.0391 | 0.0    | -0.3936                    | -0.3936                   | 0.0    | -12.7015             | -3.8334                 | 9.8772                 | 12.626               | 1.8035                  | 1.9685             | 0.9914             | 0.9803                     | 2.9355                     | 1.2182    | 0.2059     |
  | 2.4949        | 5.0   | 1410 | 2.4218          | 0.0    | 0.0    | 0.0    | 0.0       | 20.0    | 0.0       | 0.0307    | -2.0391 | 0.0    | -0.3936                    | -0.3936                   | 0.0    | -12.7015             | -3.8334                 | 9.8772                 | 12.626               | 1.8035                  | 1.9685             | 0.9914             | 0.9803                     | 2.9355                     | 1.2182    | 0.2059     |
  | 2.0278        | 6.0   | 1692 | 2.3805          | 1.9077 | 1.0154 | 1.6902 | 1.7147    | 20.0    | 0.0885    | 0.0923    | -1.9098 | 0.0103 | -