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camembert2camembert_shared-finetuned-french-summarization_finetuned
aleoaaaa/camembert2camembert_shared-finetuned-french-summarization_finetuned
camembert2camembert_shared-finetuned-french-summarization_finetuned is a machine learning model from aleoaaaa. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- encoder-decoder
- Access
- Public
- Created
- Jun 7, 2024
- Updated
- Jun 7, 2024
- SHA
- b87c0252
Base models
Model card
From the Hugging Face model README
<!-- 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. -->
camembert2camembert_shared-finetuned-french-summarization_finetuned
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: 2.5107
- Rouge1: 0.2652
- Rouge2: 0.1124
- Rougel: 0.2545
- Rougelsum: 0.2541
- Gen Len: 7.8103
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- 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 | 29 | 2.9861 | 0.2431 | 0.0886 | 0.223 | 0.2229 | 7.8793 |
| No log | 2.0 | 58 | 2.6463 | 0.2741 | 0.1116 | 0.2647 | 0.2628 | 7.569 |
| No log | 3.0 | 87 | 2.5358 | 0.2565 | 0.1037 | 0.2482 | 0.2487 | 7.6638 |
| No log | 4.0 | 116 | 2.5107 | 0.2652 | 0.1124 | 0.2545 | 0.2541 | 7.8103 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cpu
- Datasets 2.19.2
- Tokenizers 0.19.1
- Library
- transformers
- Type
- encoder-decoder
- Created
- Jun 7, 2024
- Updated
- Jun 7, 2024