metadata
base_model: NousResearch/Llama-2-7b-chat-hf
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: instruction_tuned_model
results: []
instruction_tuned_model
This model is a fine-tuned version of NousResearch/Llama-2-7b-chat-hf on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7426
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: 0.0002
- train_batch_size: 64
- eval_batch_size: 32
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9054 | 0.1571 | 100 | 0.9336 |
| 0.7821 | 0.3142 | 200 | 0.8612 |
| 0.7367 | 0.4713 | 300 | 0.8301 |
| 0.7238 | 0.6284 | 400 | 0.8054 |
| 0.6822 | 0.7855 | 500 | 0.7912 |
| 0.6511 | 0.9427 | 600 | 0.7823 |
| 0.6166 | 1.0998 | 700 | 0.7764 |
| 0.5797 | 1.2569 | 800 | 0.7649 |
| 0.5902 | 1.4140 | 900 | 0.7541 |
| 0.5916 | 1.5711 | 1000 | 0.7562 |
| 0.5816 | 1.7282 | 1100 | 0.7468 |
| 0.5662 | 1.8853 | 1200 | 0.7448 |
| 0.4927 | 2.0424 | 1300 | 0.7501 |
| 0.4796 | 2.1995 | 1400 | 0.7540 |
| 0.4683 | 2.3566 | 1500 | 0.7472 |
| 0.4854 | 2.5137 | 1600 | 0.7453 |
| 0.4733 | 2.6709 | 1700 | 0.7455 |
| 0.4643 | 2.8280 | 1800 | 0.7431 |
| 0.4535 | 2.9851 | 1900 | 0.7426 |
Framework versions
- PEFT 0.13.2.dev0
- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0