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results
aayush-i2p/results
results is a machine learning model from aayush-i2p. 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
- Nov 16, 2023
- Updated
- Dec 18, 2023
- SHA
- d1f2790f
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 google/flan-t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.5487
- Rouge1: 0.3047
- Rouge2: 0.1253
- Rougel: 0.2752
- Rougelsum: 0.2813
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: 0.0003
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 4 | 2.8586 | 0.2445 | 0.0844 | 0.2195 | 0.2220 |
| No log | 2.0 | 8 | 2.6345 | 0.2824 | 0.1235 | 0.2586 | 0.2601 |
| No log | 3.0 | 12 | 2.5487 | 0.3047 | 0.1253 | 0.2752 | 0.2813 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Nov 16, 2023
- Updated
- Dec 18, 2023