flan-t5-finetune-macmotus3.0
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: 0.9270
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: 0.0003
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 226 | 1.2474 |
| No log | 2.0 | 452 | 1.0526 |
| 1.4868 | 3.0 | 678 | 0.9559 |
| 1.4868 | 4.0 | 904 | 0.9311 |
| 0.8364 | 5.0 | 1130 | 0.9270 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.1+cpu
- Datasets 3.0.1
- Tokenizers 0.20.0
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Base model
google/flan-t5-base