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results
sanjithrj/results
results is a machine learning model from sanjithrj. 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 22, 2024
- Updated
- Apr 22, 2024
- SHA
- 503c919d
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-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.6303
- Rouge1: 0.2243
- Rouge2: 0.0638
- Rougel: 0.1869
- Rougelsum: 0.1873
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: 0.0001
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 3 | 2.8417 | 0.2288 | 0.0874 | 0.2003 | 0.2016 |
| No log | 2.0 | 6 | 2.7634 | 0.2271 | 0.0883 | 0.1977 | 0.1967 |
| No log | 3.0 | 9 | 2.6403 | 0.2144 | 0.0640 | 0.1852 | 0.1853 |
| No log | 4.0 | 12 | 2.5802 | 0.2360 | 0.0760 | 0.2042 | 0.2060 |
| No log | 5.0 | 15 | 2.5559 | 0.2321 | 0.0801 | 0.2019 | 0.2022 |
| No log | 6.0 | 18 | 2.5504 | 0.2312 | 0.0793 | 0.2006 | 0.2028 |
| No log | 7.0 | 21 | 2.5511 | 0.2338 | 0.0809 | 0.2032 | 0.2055 |
| No log | 8.0 | 24 | 2.5562 | 0.2370 | 0.0813 | 0.2063 | 0.2078 |
| No log | 9.0 | 27 | 2.5584 | 0.2370 | 0.0813 | 0.2063 | 0.2078 |
| No log | 10.0 | 30 | 2.5568 | 0.2370 | 0.0813 | 0.2063 | 0.2078 |
| No log | 11.0 | 33 | 2.5600 | 0.2370 | 0.0813 | 0.2063 | 0.2078 |
| No log | 12.0 | 36 | 2.5662 | 0.2373 | 0.0804 | 0.1926 | 0.1910 |
| No log | 13.0 | 39 | 2.5772 | 0.2430 | 0.0809 | 0.1991 | 0.1996 |
| No log | 14.0 | 42 | 2.5900 | 0.2442 | 0.0813 | 0.1999 | 0.2005 |
| No log | 15.0 | 45 | 2.5993 | 0.2436 | 0.0810 | 0.1988 | 0.1995 |
| No log | 16.0 | 48 | 2.6078 | 0.2547 | 0.0810 | 0.2113 | 0.2128 |
| No log | 17.0 | 51 | 2.6174 | 0.2391 | 0.0657 | 0.2035 | 0.2027 |
| No log | 18.0 | 54 | 2.6243 | 0.2243 | 0.0638 | 0.1869 | 0.1873 |
| No log | 19.0 | 57 | 2.6285 | 0.2243 | 0.0638 | 0.1869 | 0.1873 |
| No log | 20.0 | 60 | 2.6303 | 0.2243 | 0.0638 | 0.1869 | 0.1873 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Apr 22, 2024
- Updated
- Apr 22, 2024