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bart-base-qds
dtruong46me/bart-base-qds
bart-base-qds is a machine learning model from dtruong46me. 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
- Jun 6, 2024
- Updated
- Jun 6, 2024
- SHA
- 7fd8a442
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. -->
bart-base-qds
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: 0.1951
- Rouge1: 55.0287
- Rouge2: 38.716
- Rougel: 50.1333
- Rougelsum: 52.4893
- Gen Len: 19.8777
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 12
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.2775 | 1.0 | 2325 | 0.2104 | 54.7212 | 38.7731 | 49.4602 | 52.0184 | 19.8805 |
| 0.2297 | 2.0 | 4650 | 0.2016 | 55.3102 | 39.1181 | 50.2737 | 52.5319 | 19.8434 |
| 0.2158 | 3.0 | 6975 | 0.1987 | 55.5611 | 39.6505 | 50.3652 | 52.8286 | 19.8681 |
| 0.2056 | 4.0 | 9300 | 0.1963 | 54.8895 | 38.8942 | 49.7767 | 52.2329 | 19.8695 |
| 0.1982 | 5.0 | 11625 | 0.1955 | 55.3219 | 39.273 | 50.0547 | 52.6413 | 19.8695 |
| 0.192 | 6.0 | 13950 | 0.1953 | 55.4418 | 39.2717 | 50.2972 | 52.6911 | 19.8860 |
| 0.1868 | 7.0 | 16275 | 0.1940 | 55.2949 | 39.1619 | 50.3231 | 52.5874 | 19.8723 |
| 0.1829 | 8.0 | 18600 | 0.1943 | 55.4707 | 39.2006 | 50.2254 | 52.7875 | 19.875 |
| 0.1794 | 9.0 | 20925 | 0.1949 | 55.3263 | 38.9329 | 50.169 | 52.7384 | 19.8654 |
| 0.1768 | 10.0 | 23250 | 0.1948 | 54.6551 | 38.1892 | 49.6596 | 52.0824 | 19.8805 |
| 0.1751 | 11.0 | 25575 | 0.1952 | 54.9883 | 38.5782 | 49.9407 | 52.4031 | 19.8764 |
| 0.1737 | 12.0 | 27900 | 0.1951 | 55.0287 | 38.716 | 50.1333 | 52.4893 | 19.8777 |
Framework versions
- Transformers 4.36.1
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.15.2
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Jun 6, 2024
- Updated
- Jun 6, 2024