metadata
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: Deci/DeciLM-7B
datasets:
- generator
model-index:
- name: deci7bit-lora-sql
results: []
deci7bit-lora-sql
This model is a fine-tuned version of Deci/DeciLM-7B on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 0.3593
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 |
|---|---|---|---|
| 0.7841 | 0.06 | 20 | 0.5204 |
| 0.4837 | 0.11 | 40 | 0.4376 |
| 0.4325 | 0.17 | 60 | 0.4122 |
| 0.4112 | 0.23 | 80 | 0.4029 |
| 0.4028 | 0.28 | 100 | 0.3925 |
| 0.3958 | 0.34 | 120 | 0.3855 |
| 0.3895 | 0.4 | 140 | 0.3816 |
| 0.3818 | 0.45 | 160 | 0.3784 |
| 0.3753 | 0.51 | 180 | 0.3756 |
| 0.3722 | 0.56 | 200 | 0.3734 |
| 0.3687 | 0.62 | 220 | 0.3702 |
| 0.3678 | 0.68 | 240 | 0.3665 |
| 0.3636 | 0.73 | 260 | 0.3627 |
| 0.3582 | 0.79 | 280 | 0.3580 |
| 0.3594 | 0.85 | 300 | 0.3593 |
Framework versions
- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.1.0+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2