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litbank-coref-mem-xl-6
eddieman78/litbank-coref-mem-xl-6
litbank-coref-mem-xl-6 is a machine learning model from eddieman78. 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
- t5
- Access
- Public
- Created
- Apr 10, 2025
- Updated
- Apr 10, 2025
- SHA
- 298d548b
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. -->
litbank-coref-mem-xl-6
This model is a fine-tuned version of eddieman78/litbank-coref-mem-xl-3 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0003
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: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0054 | 0.5855 | 500 | 0.0019 |
| 0.0034 | 1.1710 | 1000 | 0.0010 |
| 0.0023 | 1.7564 | 1500 | 0.0006 |
| 0.0016 | 2.3419 | 2000 | 0.0004 |
| 0.0012 | 2.9274 | 2500 | 0.0003 |
Framework versions
- Transformers 4.50.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Apr 10, 2025
- Updated
- Apr 10, 2025