ruadapt_qwen2.5_1.5B_ext_u48_mean_init_libre_instruct
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
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: 1
- eval_batch_size: 1
- seed: 1337
- distributed_type: multi-GPU
- num_devices: 16
- gradient_accumulation_steps: 128
- total_train_batch_size: 2048
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 16
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|
| 4.3816 | 0.9399 | 16 | 4.2962 |
| 3.5399 | 1.8798 | 32 | 3.5833 |
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
