ca-finetuned-flan-t5-large
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: 5.4606
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.3366 | 1.0 | 34 | 2.7448 |
| 1.8401 | 2.0 | 68 | 2.8152 |
| 1.1512 | 3.0 | 102 | 2.9234 |
| 0.697 | 4.0 | 136 | 3.3972 |
| 0.4054 | 5.0 | 170 | 3.7261 |
| 0.2705 | 6.0 | 204 | 4.0965 |
| 0.2058 | 7.0 | 238 | 4.2119 |
| 0.121 | 8.0 | 272 | 5.1648 |
| 0.0932 | 9.0 | 306 | 5.5543 |
| 0.0755 | 10.0 | 340 | 5.4606 |
Framework versions
- Transformers 4.38.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.16.1
- Tokenizers 0.15.2
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Base model
google/flan-t5-large