metadata
library_name: peft
license: llama3
base_model: scb10x/llama-3-typhoon-v1.5-8b-instruct
tags:
- axolotl
- generated_from_trainer
model-index:
- name: ba8111ef-38b6-4394-80e6-fea84ce06ab4
results: []
ba8111ef-38b6-4394-80e6-fea84ce06ab4
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: 0.0022
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: 0.000218
- train_batch_size: 4
- eval_batch_size: 4
- seed: 180
- 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 | 0.4080 |
| 0.012 | 0.0020 | 50 | 0.0177 |
| 0.0225 | 0.0040 | 100 | 0.0250 |
| 0.0085 | 0.0060 | 150 | 0.0175 |
| 0.0166 | 0.0081 | 200 | 0.0136 |
| 0.012 | 0.0101 | 250 | 0.0087 |
| 0.0003 | 0.0121 | 300 | 0.0050 |
| 0.0007 | 0.0141 | 350 | 0.0043 |
| 0.0008 | 0.0161 | 400 | 0.0028 |
| 0.0006 | 0.0181 | 450 | 0.0023 |
| 0.0026 | 0.0201 | 500 | 0.0022 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1