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flan-t5-xl-finetuned-gsm8k
This model is a fine-tuned version of google/flan-t5-xl on the gsm8k dataset. It achieves the following results on the evaluation set:
- Loss: 0.2853
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: 1
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2845 | 1.0 | 1868 | 0.2778 |
| 0.2204 | 2.0 | 3736 | 0.2718 |
| 0.1803 | 3.0 | 5604 | 0.2762 |
| 0.1578 | 4.0 | 7472 | 0.2853 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.2
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