metadata

library_name: peft
tags:
  - trl
  - sft
  - generated_from_trainer
base_model: meta-llama/Llama-2-7b-hf
datasets:
  - generator
model-index:
  - name: llama7bit-lora-sql
    results: []

llama7bit-lora-sql

This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the generator dataset. It achieves the following results on the evaluation set:

Loss: 0.3700

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: 0.0003
train_batch_size: 8
eval_batch_size: 8
seed: 1399
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 100
training_steps: 500

Training results

Training Loss	Epoch	Step	Validation Loss
1.2068	0.06	20	0.8181
0.6757	0.12	40	0.5148
0.5104	0.17	60	0.4552
0.4633	0.23	80	0.4269
0.442	0.29	100	0.4110
0.428	0.35	120	0.3993
0.4209	0.41	140	0.3983
0.4142	0.47	160	0.3932
0.4032	0.52	180	0.3888
0.3999	0.58	200	0.3841
0.3977	0.64	220	0.3827
0.397	0.7	240	0.3811
0.3927	0.76	260	0.3781
0.3873	0.82	280	0.3762
0.3871	0.87	300	0.3728
0.3861	0.93	320	0.3715
0.3809	0.99	340	0.3695
0.3664	1.05	360	0.3700

Framework versions

PEFT 0.9.0
Transformers 4.38.2
Pytorch 2.1.0+cu118
Datasets 2.18.0
Tokenizers 0.15.2