mgzon-flan-t5-base
This model is a fine-tuned version of MGZON/mgzon-flan-t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: nan
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: 3e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 2
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2456 | 1.0 | 1488 | nan |
| 0.0888 | 2.0 | 2976 | nan |
| 15.9533 | 3.0 | 4464 | nan |
| 0.1136 | 4.0 | 5952 | nan |
| 0.0626 | 5.0 | 7440 | nan |
Framework versions
- Transformers 4.55.2
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.21.4
- Downloads last month
- 40
Inference Providers
NEW
This model isn't deployed by any Inference Provider.
🙋
3
Ask for provider support
Model tree for MGZON/mgzon-flan-t5-base
Unable to build the model tree, the base model loops to the model itself. Learn more.