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flan-t5-small-esnli-lora
mohammadhabp/flan-t5-small-esnli-lora
flan-t5-small-esnli-lora is a machine learning model from mohammadhabp. 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 peft. 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
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Feb 25, 2024
- Updated
- Feb 27, 2024
- SHA
- 1a71297a
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-small-esnli-lora
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: 1.6258
- Rouge1: 0.6257
- Rouge2: 0.4156
- Rougel: 0.5682
- F1: 0.8850
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: 0.001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | F1 |
|---|---|---|---|---|---|---|---|
| 1.1793 | 0.25 | 8584 | 1.7215 | 0.6161 | 0.4037 | 0.5577 | 0.8738 |
| 1.1408 | 0.5 | 17168 | 1.6903 | 0.6194 | 0.4096 | 0.5615 | 0.8730 |
| 1.1122 | 0.75 | 25752 | 1.6155 | 0.6267 | 0.4179 | 0.5693 | 0.8832 |
| 1.0929 | 1.0 | 34336 | 1.6258 | 0.6257 | 0.4156 | 0.5682 | 0.8850 |
Framework versions
- PEFT 0.8.2
- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.17.1
- Tokenizers 0.15.1
- Library
- peft
- License
- apache-2.0
- Created
- Feb 25, 2024
- Updated
- Feb 27, 2024