metadata
library_name: peft
base_model: NousResearch/Yarn-Llama-2-13b-128k
tags:
- axolotl
- generated_from_trainer
model-index:
- name: e98fb5bf-8048-49ba-9174-770aa41afffc
results: []
e98fb5bf-8048-49ba-9174-770aa41afffc
This model is a fine-tuned version of NousResearch/Yarn-Llama-2-13b-128k on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0008
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: 0.000204
- 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: 463
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0022 | 1 | 0.1187 |
| 0.0183 | 0.1080 | 50 | 0.0119 |
| 0.016 | 0.2160 | 100 | 0.0282 |
| 0.0108 | 0.3240 | 150 | 0.0076 |
| 0.0051 | 0.4320 | 200 | 0.0169 |
| 0.0031 | 0.5400 | 250 | 0.0031 |
| 0.0003 | 0.6479 | 300 | 0.0020 |
| 0.0029 | 0.7559 | 350 | 0.0015 |
| 0.0023 | 0.8639 | 400 | 0.0009 |
| 0.0003 | 0.9719 | 450 | 0.0008 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1