Downloads · 30 days
14
28% of all-time downloads
RAFT-BioT5-Medical-QA_testt
Radhikaaaa/RAFT-BioT5-Medical-QA_testt
RAFT-BioT5-Medical-QA_testt is a machine learning model from Radhikaaaa. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
All-time downloads
50
Public
Parameters
252M
1 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors1 GB · 100%
At a glance
- Library
- transformers
- License
- mit
- Model type
- t5
- Access
- Public
- Created
- Aug 6, 2025
- Updated
- Aug 6, 2025
- SHA
- 1603db84
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
RAFT-BioT5-Medical-QA_testt
This model is a fine-tuned version of QizhiPei/biot5-plus-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.5630
- Rouge1: 11.1448
- Rouge2: 3.564
- Rougel: 8.7117
- Meteor: 5.3064
- Bertscore F1: 75.7991
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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Meteor | Bertscore F1 |
|---|---|---|---|---|---|---|---|---|
| 3.7491 | 1.0 | 12 | 2.5630 | 11.1448 | 3.564 | 8.7117 | 5.3064 | 75.7991 |
Framework versions
- Transformers 4.55.0
- Pytorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.21.2
- Library
- transformers
- Type
- t5
- License
- mit
- Created
- Aug 6, 2025
- Updated
- Aug 6, 2025