metadata
library_name: transformers
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
model-index:
- name: medical_assistant_seq2seq
results: []
medical_assistant_seq2seq
This model is a fine-tuned version of google/flan-t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4065
- Bertscore F1: 0.5611
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: 8
- eval_batch_size: 8
- seed: 42
- 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
Training results
| Training Loss | Epoch | Step | Validation Loss | Bertscore F1 |
|---|---|---|---|---|
| 2.2103 | 1.0 | 1812 | 1.5514 | 0.5411 |
| 1.6263 | 2.0 | 3624 | 1.4763 | 0.5597 |
| 1.5692 | 3.0 | 5436 | 1.4771 | 0.5568 |
| 1.5387 | 4.0 | 7248 | 1.3831 | 0.5529 |
| 1.5249 | 5.0 | 9060 | 1.4065 | 0.5611 |
Framework versions
- Transformers 4.55.2
- Pytorch 2.8.0
- Datasets 4.0.0
- Tokenizers 0.21.4