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model_v1e_5_8_8_4
sehilnlf/model_v1e_5_8_8_4
model_v1e_5_8_8_4 is a machine learning model from sehilnlf. 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
- May 26, 2024
- Updated
- May 26, 2024
- SHA
- f0f4c6f6
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. -->
model_v1e_5_8_8_4
This model is a fine-tuned version of facebook/bart-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5522
- Sacrebleu: 66.9834
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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Sacrebleu |
|---|---|---|---|---|
| No log | 1.0 | 218 | 0.5616 | 66.0295 |
| No log | 2.0 | 437 | 0.5691 | 66.6355 |
| No log | 3.0 | 656 | 0.5544 | 66.8901 |
| No log | 4.0 | 875 | 0.5522 | 66.9834 |
| No log | 5.0 | 1093 | 0.5686 | 67.0746 |
| No log | 6.0 | 1312 | 0.5995 | 67.1015 |
| No log | 7.0 | 1531 | 0.5663 | 67.1106 |
| No log | 8.0 | 1750 | 0.5860 | 67.0824 |
| No log | 9.0 | 1968 | 0.6075 | 67.1805 |
| No log | 9.97 | 2180 | 0.6105 | 67.1350 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- transformers
- Type
- bart
- License
- apache-2.0
- Created
- May 26, 2024
- Updated
- May 26, 2024