flan-t5-large-absa-laptops
This model is a fine-tuned version of google/flan-t5-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1444
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: 6
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.3509 | 0.9 | 200 | 0.1762 |
| 0.2241 | 1.8 | 400 | 0.1329 |
| 0.1543 | 2.7 | 600 | 0.1224 |
| 0.1107 | 3.6 | 800 | 0.1294 |
| 0.0877 | 4.5 | 1000 | 0.1474 |
| 0.0697 | 5.41 | 1200 | 0.1444 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Inference Providers
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Model tree for Shakhovak/flan-t5-large-absa-laptops
Base model
google/flan-t5-large