metadata
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
base_model: NousResearch/Llama-2-7b-hf
model-index:
- name: llama2_instruct_generation
results: []
llama2_instruct_generation
This model is a fine-tuned version of NousResearch/Llama-2-7b-hf on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 1.6734
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: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 0.03
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.9364 | 0.0 | 20 | 1.8092 |
| 1.9198 | 0.01 | 40 | 1.7826 |
| 1.8451 | 0.01 | 60 | 1.7675 |
| 1.8487 | 0.01 | 80 | 1.7573 |
| 1.8667 | 0.01 | 100 | 1.7435 |
| 1.7463 | 0.02 | 120 | 1.7132 |
| 1.7789 | 0.02 | 140 | 1.7038 |
| 1.8167 | 0.02 | 160 | 1.7008 |
| 1.8654 | 0.02 | 180 | 1.6944 |
| 1.9158 | 0.03 | 200 | 1.6939 |
| 1.6581 | 0.03 | 220 | 1.6909 |
| 1.793 | 0.03 | 240 | 1.6896 |
| 1.7878 | 0.04 | 260 | 1.6872 |
| 1.7542 | 0.04 | 280 | 1.6862 |
| 1.7723 | 0.04 | 300 | 1.6863 |
| 1.7606 | 0.04 | 320 | 1.6832 |
| 1.8054 | 0.05 | 340 | 1.6802 |
| 1.7307 | 0.05 | 360 | 1.6803 |
| 1.8278 | 0.05 | 380 | 1.6790 |
| 1.7912 | 0.05 | 400 | 1.6768 |
| 1.7826 | 0.06 | 420 | 1.6749 |
| 1.8975 | 0.06 | 440 | 1.6756 |
| 1.8395 | 0.06 | 460 | 1.6763 |
| 1.8319 | 0.07 | 480 | 1.6749 |
| 1.7879 | 0.07 | 500 | 1.6734 |
Framework versions
- PEFT 0.7.1
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1