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flan-t5-base-absa-rest
Shakhovak/flan-t5-base-absa-rest
flan-t5-base-absa-rest is a machine learning model from Shakhovak. 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
- Mar 16, 2024
- Updated
- Mar 19, 2024
- SHA
- dfbeeeec
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-absa-rest
This model is a fine-tuned version of google/flan-t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2490
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: 16
- 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_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.7338 | 0.45 | 200 | 0.3705 |
| 0.4162 | 0.9 | 400 | 0.2968 |
| 0.3228 | 1.35 | 600 | 0.2798 |
| 0.2954 | 1.8 | 800 | 0.2653 |
| 0.2679 | 2.25 | 1000 | 0.2483 |
| 0.2449 | 2.7 | 1200 | 0.2490 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Mar 16, 2024
- Updated
- Mar 19, 2024