metadata
library_name: peft
license: apache-2.0
base_model: Qwen/Qwen2.5-32B
tags:
- llama-factory
- lora
- generated_from_trainer
model-index:
- name: pretrain
results: []
pretrain
This model is a fine-tuned version of Qwen/Qwen2.5-32B on the openreview dataset. It achieves the following results on the evaluation set:
- Loss: 1.1076
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: 1e-05
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- total_eval_batch_size: 4
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.2155 | 0.1604 | 100 | 1.2046 |
| 1.1392 | 0.3209 | 200 | 1.1238 |
| 1.1181 | 0.4813 | 300 | 1.1140 |
| 1.1252 | 0.6418 | 400 | 1.1097 |
| 1.1199 | 0.8022 | 500 | 1.1079 |
| 1.1104 | 0.9627 | 600 | 1.1075 |
Framework versions
- PEFT 0.12.0
- Transformers 4.46.1
- Pytorch 2.5.1
- Datasets 3.1.0
- Tokenizers 0.20.3