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model_v2
sehilnlf/model_v2
model_v2 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 25, 2024
- Updated
- May 26, 2024
- SHA
- 8058102e
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_v2
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: 1.2418
- Sacrebleu: 66.7409
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: 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: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Sacrebleu |
|---|---|---|---|---|
| No log | 1.0 | 218 | 0.6656 | 66.6707 |
| No log | 2.0 | 437 | 0.5851 | 66.5767 |
| No log | 3.0 | 656 | 0.6062 | 66.4734 |
| No log | 4.0 | 875 | 0.7029 | 66.5944 |
| No log | 5.0 | 1093 | 0.6852 | 66.0086 |
| No log | 6.0 | 1312 | 0.7471 | 66.0534 |
| No log | 7.0 | 1531 | 0.8938 | 66.1986 |
| No log | 8.0 | 1750 | 0.8834 | 66.4626 |
| No log | 9.0 | 1968 | 0.8895 | 66.4292 |
| No log | 10.0 | 2187 | 0.8824 | 66.0577 |
| No log | 11.0 | 2406 | 0.8781 | 66.5076 |
| No log | 12.0 | 2625 | 0.9870 | 66.5564 |
| No log | 13.0 | 2843 | 1.1580 | 66.5116 |
| No log | 14.0 | 3062 | 0.9797 | 66.3801 |
| No log | 15.0 | 3281 | 1.0680 | 66.2748 |
| No log | 16.0 | 3500 | 1.0113 | 66.5282 |
| No log | 17.0 | 3718 | 1.0023 | 66.5794 |
| No log | 18.0 | 3937 | 1.0753 | 66.2935 |
| No log | 19.0 | 4156 | 1.0462 | 66.5036 |
| No log | 20.0 | 4375 | 1.0934 | 66.7931 |
| No log | 21.0 | 4593 | 1.1732 | 66.5171 |
| No log | 22.0 | 4812 | 1.1892 | 66.4821 |
| No log | 23.0 | 5031 | 1.2766 | 66.5913 |
| No log | 24.0 | 5250 | 1.2392 | 66.5476 |
| No log | 25.0 | 5468 | 1.3452 | 66.5616 |
| No log | 26.0 | 5687 | 1.1427 | 66.7916 |
| No log | 27.0 | 5906 | 1.1809 | 66.9823 |
| No log | 28.0 | 6125 | 1.2310 | 66.7958 |
| No log | 29.0 | 6343 | 1.2147 | 66.7948 |
| No log | 29.9 | 6540 | 1.2418 | 66.7409 |
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 25, 2024
- Updated
- May 26, 2024