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arxiv_summarization_model
akrishnan1/arxiv_summarization_model
arxiv_summarization_model is a machine learning model from akrishnan1. 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.
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 29, 2024
- Updated
- May 1, 2024
- SHA
- e7c7701f
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
akrishnan1/arxiv_summarization_model
This model is a fine-tuned version of google-t5/t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 2.6862
- Validation Loss: 2.4424
- Train Rouge1: 17.9778
- Train Rouge2: 6.7295
- Train Rougel: 14.3327
- Train Rougelsum: 16.3045
- Train Gen Len: 19.0
- Epoch: 0
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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.1}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Train Rouge1 | Train Rouge2 | Train Rougel | Train Rougelsum | Train Gen Len | Epoch |
|---|---|---|---|---|---|---|---|
| 2.6862 | 2.4424 | 17.9778 | 6.7295 | 14.3327 | 16.3045 | 19.0 | 0 |
Framework versions
- Transformers 4.40.1
- TensorFlow 2.16.1
- Datasets 2.19.0
- Tokenizers 0.19.1
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Apr 29, 2024
- Updated
- May 1, 2024