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my_awesome_billsum_model
ombarki345/my_awesome_billsum_model
my_awesome_billsum_model is a machine learning model from ombarki345. 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
- Mar 25, 2024
- Updated
- May 12, 2024
- SHA
- e3481c97
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. -->
my_awesome_billsum_model
This model is a fine-tuned version of pszemraj/led-base-book-summary on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 10.3881
- eval_runtime: 4.3575
- eval_samples_per_second: 11.934
- eval_steps_per_second: 11.934
- epoch: 1.0
- step: 204
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: 0.00036271229920441326
- train_batch_size: 1
- eval_batch_size: 1
- seed: 23
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
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
- Mar 25, 2024
- Updated
- May 12, 2024