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bart-mawpnli-calcx-nli-pt
vishwa27/bart-mawpnli-calcx-nli-pt
bart-mawpnli-calcx-nli-pt is a machine learning model from vishwa27. 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. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- bart
- Access
- Public
- Created
- Feb 17, 2024
- Updated
- Feb 17, 2024
- SHA
- 19979455
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. -->
bart-mawpnli-calcx-nli-pt
This model is a fine-tuned version of facebook/bart-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1453
- Rouge1: 93.7662
- Rouge2: 86.4184
- Rougel: 93.67
- Rougelsum: 93.6822
- Gen Len: 12.2028
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.2619 | 1.0 | 819 | 0.1578 | 91.4167 | 81.2366 | 91.3175 | 91.299 | 11.9994 |
| 0.0848 | 2.0 | 1638 | 0.1296 | 92.7573 | 84.2145 | 92.6627 | 92.6429 | 12.2395 |
| 0.0537 | 3.0 | 2457 | 0.1217 | 93.2594 | 85.3616 | 93.145 | 93.1393 | 12.1851 |
| 0.0278 | 4.0 | 3276 | 0.1358 | 93.6089 | 86.1785 | 93.473 | 93.4733 | 12.2272 |
| 0.0119 | 5.0 | 4095 | 0.1453 | 93.7662 | 86.4184 | 93.67 | 93.6822 | 12.2028 |
Framework versions
- Transformers 4.35.2
- Pytorch 1.12.1+cu113
- Datasets 2.15.0
- Tokenizers 0.15.0
- Library
- transformers
- Type
- bart
- License
- apache-2.0
- Created
- Feb 17, 2024
- Updated
- Feb 17, 2024