Downloads · 30 days
3
20% of all-time downloads
ruadapt_qwen2.5_1.5B_ext_u48_mean_init_libre
practical-llm/ruadapt_qwen2.5_1.5B_ext_u48_mean_init_libre
ruadapt_qwen2.5_1.5B_ext_u48_mean_init_libre is a machine learning model from practical-llm. 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. --
All-time downloads
15
Public
Repo size
532 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors1 GB · 97%
At a glance
- Library
- peft
- Access
- Public
- Created
- Jan 30, 2025
- Updated
- Jan 30, 2025
- SHA
- 7f037b10
Base models
Datasets
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. -->
trained_model
This model is a fine-tuned version of ruadapt_qwen2.5_1.5B_ext_u48_mean_init on the practical-llm/LiBRE dataset. It achieves the following results on the evaluation set:
- Loss: 3.4314
- Accuracy: 0.4017
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: 0.001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 16
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-05
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 1.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 0.0081 | 1 | 7.5085 | 0.2035 |
Framework versions
- PEFT 0.9.0
- Transformers 4.45.2
- Pytorch 2.3.0a0+6ddf5cf85e.nv24.04
- Datasets 2.18.0
- Tokenizers 0.20.3
- Library
- peft
- Created
- Jan 30, 2025
- Updated
- Jan 30, 2025