metadata
library_name: peft
license: llama3
base_model: aisingapore/llama3-8b-cpt-sea-lionv2.1-instruct
tags:
- axolotl
- generated_from_trainer
model-index:
- name: f012b85a-9c1b-469f-b4eb-57c9380d9c2c
results: []
f012b85a-9c1b-469f-b4eb-57c9380d9c2c
This model is a fine-tuned version of aisingapore/llama3-8b-cpt-sea-lionv2.1-instruct on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.9449
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: 0.000213
- 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 | 0.0015 | 1 | 2.5286 |
| 2.2357 | 0.0726 | 50 | 2.3870 |
| 2.1284 | 0.1451 | 100 | 2.3372 |
| 2.0528 | 0.2177 | 150 | 2.1948 |
| 2.0656 | 0.2903 | 200 | 2.1229 |
| 2.0311 | 0.3628 | 250 | 2.0805 |
| 1.9881 | 0.4354 | 300 | 2.0402 |
| 1.9632 | 0.5080 | 350 | 1.9960 |
| 1.8051 | 0.5806 | 400 | 1.9633 |
| 1.889 | 0.6531 | 450 | 1.9480 |
| 1.8717 | 0.7257 | 500 | 1.9449 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1