metadata
library_name: peft
license: llama3
base_model: scb10x/llama-3-typhoon-v1.5-8b-instruct
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 06fe8c1a-11ca-43de-8849-53bc60389e04
results: []
06fe8c1a-11ca-43de-8849-53bc60389e04
This model is a fine-tuned version of scb10x/llama-3-typhoon-v1.5-8b-instruct on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2733
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: 0.000217
- train_batch_size: 4
- eval_batch_size: 4
- seed: 170
- 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 | 0.0004 | 1 | 1.6572 |
| 0.3887 | 0.0178 | 50 | 0.5777 |
| 0.4069 | 0.0357 | 100 | 0.6546 |
| 0.3688 | 0.0535 | 150 | 0.5131 |
| 0.4015 | 0.0713 | 200 | 0.5132 |
| 0.2953 | 0.0892 | 250 | 0.4764 |
| 0.2395 | 0.1070 | 300 | 0.3887 |
| 0.2984 | 0.1248 | 350 | 0.3598 |
| 0.1899 | 0.1427 | 400 | 0.3352 |
| 0.1957 | 0.1605 | 450 | 0.2770 |
| 0.1991 | 0.1783 | 500 | 0.2733 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1