bart-large-cnn-samsum-rescom-finetuned-resume-summarizer-9-epoch-tweak
This model is a fine-tuned version of Ameer05/model-token-repo on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4511
- Rouge1: 59.76
- Rouge2: 52.1999
- Rougel: 57.3631
- Rougelsum: 59.3075
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: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 9
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
---|---|---|---|---|---|---|---|
No log | 0.91 | 5 | 2.0185 | 52.2186 | 45.4675 | 49.3152 | 51.9415 |
No log | 1.91 | 10 | 1.6571 | 60.7728 | 52.8611 | 57.3487 | 60.1676 |
No log | 2.91 | 15 | 1.5323 | 60.5674 | 52.2246 | 57.9846 | 60.073 |
No log | 3.91 | 20 | 1.4556 | 61.2167 | 53.5087 | 58.9609 | 60.893 |
1.566 | 4.91 | 25 | 1.4632 | 62.918 | 55.4544 | 60.7116 | 62.6614 |
1.566 | 5.91 | 30 | 1.4360 | 60.4173 | 52.5859 | 57.8131 | 59.8864 |
1.566 | 6.91 | 35 | 1.4361 | 61.4273 | 53.9663 | 59.4445 | 60.9672 |
1.566 | 7.91 | 40 | 1.4477 | 60.3401 | 52.7276 | 57.7504 | 59.8209 |
0.6928 | 8.91 | 45 | 1.4511 | 59.76 | 52.1999 | 57.3631 | 59.3075 |
Framework versions
- Transformers 4.15.0
- Pytorch 1.9.1
- Datasets 1.18.4
- Tokenizers 0.10.3
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