metadata
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- generated_from_trainer
model-index:
- name: MSc_llama3_finetuned_model_secondData
results: []
library_name: peft
MSc_llama3_finetuned_model_secondData
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.5909
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 250
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.3698 | 1.36 | 10 | 2.0432 |
| 1.3777 | 2.71 | 20 | 1.0067 |
| 0.8126 | 4.07 | 30 | 0.7822 |
| 0.6642 | 5.42 | 40 | 0.7281 |
| 0.5708 | 6.78 | 50 | 0.7218 |
| 0.5062 | 8.14 | 60 | 0.7360 |
| 0.4379 | 9.49 | 70 | 0.7781 |
| 0.3924 | 10.85 | 80 | 0.8310 |
| 0.3435 | 12.2 | 90 | 0.8856 |
| 0.3041 | 13.56 | 100 | 1.0389 |
| 0.2787 | 14.92 | 110 | 1.0664 |
| 0.2553 | 16.27 | 120 | 1.1655 |
| 0.2388 | 17.63 | 130 | 1.2397 |
| 0.2288 | 18.98 | 140 | 1.2049 |
| 0.2128 | 20.34 | 150 | 1.2746 |
| 0.2081 | 21.69 | 160 | 1.3889 |
| 0.1998 | 23.05 | 170 | 1.3942 |
| 0.1909 | 24.41 | 180 | 1.4383 |
| 0.188 | 25.76 | 190 | 1.5012 |
| 0.1841 | 27.12 | 200 | 1.5246 |
| 0.18 | 28.47 | 210 | 1.5528 |
| 0.1794 | 29.83 | 220 | 1.5662 |
| 0.1773 | 31.19 | 230 | 1.5788 |
| 0.1751 | 32.54 | 240 | 1.5889 |
| 0.1756 | 33.9 | 250 | 1.5909 |
Framework versions
- PEFT 0.4.0
- Transformers 4.38.2
- Pytorch 2.4.0+cu121
- Datasets 2.13.1
- Tokenizers 0.15.2