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led-pubmed-20K-8192-v2
LA1512/led-pubmed-20K-8192-v2
led-pubmed-20K-8192-v2 is a machine learning model from LA1512. 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 bsd-3-clause.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- bsd-3-clause
- Model type
- led
- Access
- Public
- Created
- May 25, 2024
- Updated
- May 25, 2024
- SHA
- 3189d734
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. -->
results
This model is a fine-tuned version of pszemraj/led-base-book-summary on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.3024
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 400
- num_epochs: 1
- label_smoothing_factor: 0.1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.6915 | 0.16 | 200 | 3.6060 |
| 3.4897 | 0.32 | 400 | 3.4824 |
| 3.3696 | 0.48 | 600 | 3.3890 |
| 3.3809 | 0.64 | 800 | 3.3488 |
| 3.324 | 0.8 | 1000 | 3.3169 |
| 3.3294 | 0.96 | 1200 | 3.3024 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- transformers
- Type
- led
- License
- bsd-3-clause
- Created
- May 25, 2024
- Updated
- May 25, 2024