metadata
library_name: peft
license: apache-2.0
base_model: Qwen/Qwen2.5-1.5B-Instruct
tags:
- llama-factory
- lora
- generated_from_trainer
model-index:
- name: models1
results: []
models1
This model is a fine-tuned version of Qwen/Qwen2.5-1.5B-Instruct on the comment_finetune_train dataset. It achieves the following results on the evaluation set:
- Loss: 0.1252
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: 0.0001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- 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: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1317 | 0.1639 | 100 | 0.1600 |
| 0.1605 | 0.3279 | 200 | 0.1548 |
| 0.1191 | 0.4918 | 300 | 0.1460 |
| 0.1423 | 0.6557 | 400 | 0.1349 |
| 0.1065 | 0.8197 | 500 | 0.1266 |
| 0.1174 | 0.9836 | 600 | 0.1253 |
Framework versions
- PEFT 0.15.2
- Transformers 4.48.3
- Pytorch 2.6.0+cu124
- Datasets 3.2.0
- Tokenizers 0.21.1