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: 1.6759
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 |
|---|---|---|---|
| 1.8994 | 0.0 | 20 | 1.8109 |
| 1.8521 | 0.01 | 40 | 1.7830 |
| 1.8745 | 0.01 | 60 | 1.7694 |
| 1.8092 | 0.01 | 80 | 1.7576 |
| 1.8042 | 0.01 | 100 | 1.7436 |
| 1.9305 | 0.02 | 120 | 1.7090 |
| 1.7965 | 0.02 | 140 | 1.7034 |
| 1.8457 | 0.02 | 160 | 1.6977 |
| 1.823 | 0.02 | 180 | 1.6943 |
| 1.7997 | 0.03 | 200 | 1.6922 |
| 1.7614 | 0.03 | 220 | 1.6895 |
| 1.7701 | 0.03 | 240 | 1.6886 |
| 1.8093 | 0.04 | 260 | 1.6877 |
| 1.8101 | 0.04 | 280 | 1.6847 |
| 1.8109 | 0.04 | 300 | 1.6834 |
| 1.7523 | 0.04 | 320 | 1.6807 |
| 1.7575 | 0.05 | 340 | 1.6802 |
| 1.8497 | 0.05 | 360 | 1.6783 |
| 1.8347 | 0.05 | 380 | 1.6781 |
| 1.8019 | 0.05 | 400 | 1.6766 |
| 1.7267 | 0.06 | 420 | 1.6770 |
| 1.7849 | 0.06 | 440 | 1.6767 |
| 1.7727 | 0.06 | 460 | 1.6748 |
| 1.7796 | 0.07 | 480 | 1.6744 |
| 1.7963 | 0.07 | 500 | 1.6759 |
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0