metadata
library_name: peft
license: apache-2.0
base_model: unsloth/Qwen2.5-Coder-1.5B-Instruct
tags:
- axolotl
- generated_from_trainer
model-index:
- name: d10fef2c-144b-448e-8b26-47619c9c7b19
results: []
d10fef2c-144b-448e-8b26-47619c9c7b19
This model is a fine-tuned version of unsloth/Qwen2.5-Coder-1.5B-Instruct on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.1723
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: 0.000203
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0000 | 1 | 3.5194 |
| 3.0277 | 0.0024 | 50 | 2.5561 |
| 2.455 | 0.0048 | 100 | 2.3826 |
| 2.3135 | 0.0072 | 150 | 2.3254 |
| 2.2838 | 0.0096 | 200 | 2.2657 |
| 2.2157 | 0.0120 | 250 | 2.2419 |
| 2.2709 | 0.0143 | 300 | 2.2174 |
| 2.2565 | 0.0167 | 350 | 2.1977 |
| 2.2064 | 0.0191 | 400 | 2.1808 |
| 2.1379 | 0.0215 | 450 | 2.1733 |
| 2.1484 | 0.0239 | 500 | 2.1723 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1