bert-mini2bert-mini-finetuned-cnn_daily_mail-summarization-finetuned-cnndaily
This model is a fine-tuned version of mrm8488/bert-mini2bert-mini-finetuned-cnn_daily_mail-summarization on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.5035
- Rouge1: 39.9928
- Rouge2: 17.5649
- Rougel: 26.9635
- Rougelsum: 36.7394
- Gen Len: 72.8086
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: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.661 | 1.0 | 17945 | 2.5035 | 39.9928 | 17.5649 | 26.9635 | 36.7394 | 72.8086 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
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