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flanT5_small_title_desc_gen4
devvanshhh/flanT5_small_title_desc_gen4
flanT5_small_title_desc_gen4 is a machine learning model from devvanshhh. 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 2, 2023
- Updated
- Nov 14, 2023
- SHA
- 667d6b51
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. -->
flanT5_small_title_desc_gen4
This model is a fine-tuned version of google/flan-T5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0647
- Rouge1: 5.6866
- Rouge2: 4.8211
- Rougel: 5.3044
- Rougelsum: 5.3047
- Gen Len: 6.9146
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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 185 | 21.8139 | 4.9985 | 4.1817 | 4.6262 | 4.6195 | 8.1707 |
| No log | 2.0 | 370 | 3.1311 | 2.9568 | 2.3334 | 2.7176 | 2.7279 | 12.8598 |
| 17.2618 | 3.0 | 555 | 0.3357 | 7.5148 | 7.1662 | 7.5094 | 7.5107 | 0.1646 |
| 17.2618 | 4.0 | 740 | 0.0948 | 6.6899 | 5.9234 | 6.3073 | 6.3097 | 3.5793 |
| 17.2618 | 5.0 | 925 | 0.0753 | 5.8373 | 4.9683 | 5.4559 | 5.4529 | 6.3841 |
| 0.2465 | 6.0 | 1110 | 0.0701 | 5.6447 | 4.7721 | 5.2636 | 5.2636 | 7.0061 |
| 0.2465 | 7.0 | 1295 | 0.0674 | 5.7413 | 4.8758 | 5.3627 | 5.3655 | 6.7561 |
| 0.2465 | 8.0 | 1480 | 0.0658 | 5.7814 | 4.9075 | 5.3964 | 5.4001 | 6.6768 |
| 0.0805 | 9.0 | 1665 | 0.0650 | 5.7107 | 4.8377 | 5.3283 | 5.3327 | 6.8598 |
| 0.0805 | 10.0 | 1850 | 0.0647 | 5.6866 | 4.8211 | 5.3044 | 5.3047 | 6.9146 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Nov 2, 2023
- Updated
- Nov 14, 2023