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Qwen3-1.7B_AllDataSourcesClinical_it_all_tasks
ferrazzipietro/Qwen3-1.7B_AllDataSourcesClinical_it_all_tasks
Qwen3-1.7B_AllDataSourcesClinical_it_all_tasks is a machine learning model from ferrazzipietro. 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 peft.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- Access
- Public
- Created
- Sep 23, 2026
- Updated
- Sep 24, 2026
- SHA
- 2caeb043
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. -->
Qwen3-1.7B_AllDataSourcesClinical_it_all_tasks
This model is a fine-tuned version of Pretrain-FBK-NLP/Qwen3-1.7B_AllDataSourcesClinical_0.0002_cosine_1024_paper_10epochs_it on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3748
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: 64
- eval_batch_size: 32
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-07 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1927 | 1.0 | 581 | 0.1535 |
| 0.1314 | 2.0 | 1162 | 0.1453 |
| 0.0899 | 3.0 | 1743 | 0.1579 |
| 0.0611 | 4.0 | 2324 | 0.1580 |
| 0.0298 | 5.0 | 2905 | 0.1990 |
| 0.0148 | 6.0 | 3486 | 0.2338 |
| 0.0035 | 7.0 | 4067 | 0.2623 |
| 0.003 | 8.0 | 4648 | 0.3035 |
| 0.0013 | 9.0 | 5229 | 0.3609 |
| 0.0011 | 10.0 | 5810 | 0.3748 |
Framework versions
- PEFT 0.14.0
- Transformers 4.51.0
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.0
- Library
- peft
- Created
- Sep 23, 2026
- Updated
- Sep 24, 2026