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flan-t5-base-srbd
Lancelot53/flan-t5-base-srbd
flan-t5-base-srbd is a machine learning model from Lancelot53. 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
- Sep 3, 2023
- Updated
- Sep 19, 2023
- SHA
- dbf056b4
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. -->
flan-t5-base-srbd
This model is a fine-tuned version of google/flan-t5-base on an srbd1_v2_annotated_segmented. It achieves the following results on the evaluation set:
- Loss: 0.2061
- Rouge1: 73.9926
- Rouge2: 65.6762
- Rougel: 73.0659
- Rougelsum: 73.9428
- Gen Len: 15.7754
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: 8
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 11.6626 | 0.86 | 200 | 0.5153 | 51.3405 | 41.8375 | 50.9028 | 51.2567 | 7.5616 |
| 0.4412 | 1.72 | 400 | 0.2881 | 73.5628 | 64.0434 | 72.4555 | 73.42 | 15.7495 |
| 0.3127 | 2.59 | 600 | 0.2365 | 73.3305 | 64.0389 | 72.3218 | 73.2283 | 15.6328 |
| 0.2683 | 3.45 | 800 | 0.2397 | 73.6254 | 64.704 | 72.6818 | 73.5721 | 15.8272 |
| 0.2462 | 4.31 | 1000 | 0.2197 | 73.8635 | 65.1757 | 72.8344 | 73.6793 | 15.7235 |
| 0.2206 | 5.17 | 1200 | 0.2142 | 74.0454 | 65.5104 | 73.1022 | 73.9321 | 15.8553 |
| 0.2073 | 6.03 | 1400 | 0.2087 | 73.8199 | 65.2791 | 72.8211 | 73.7232 | 15.743 |
| 0.1951 | 6.9 | 1600 | 0.2109 | 74.0189 | 65.1189 | 73.0456 | 73.9537 | 15.6782 |
| 0.1946 | 7.76 | 1800 | 0.2078 | 74.1418 | 65.7362 | 73.3347 | 74.0834 | 15.7775 |
| 0.1885 | 8.62 | 2000 | 0.2062 | 74.3159 | 65.8017 | 73.2801 | 74.0865 | 15.7905 |
| 0.1793 | 9.48 | 2200 | 0.2061 | 73.9926 | 65.6762 | 73.0659 | 73.9428 | 15.7754 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Sep 3, 2023
- Updated
- Sep 19, 2023