metadata
license: llama2
library_name: peft
tags:
- generated_from_trainer
base_model: codellama/CodeLlama-7b-Instruct-hf
model-index:
- name: finetuningqv1
results: []
finetuningqv1
This model is a fine-tuned version of codellama/CodeLlama-7b-Instruct-hf on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0262
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: 0.001
- train_batch_size: 20
- eval_batch_size: 20
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.688 | 1.0 | 1 | 2.7935 |
| 2.3134 | 2.0 | 2 | 2.3100 |
| 1.8897 | 3.0 | 3 | 2.0244 |
| 1.5882 | 4.0 | 4 | 1.7493 |
| 1.3105 | 5.0 | 5 | 1.4693 |
| 1.0045 | 6.0 | 6 | 1.2401 |
| 0.7371 | 7.0 | 7 | 1.0937 |
| 0.5443 | 8.0 | 8 | 1.0262 |
Framework versions
- Transformers 4.36.0
- Pytorch 2.0.1
- Datasets 2.16.1
- Tokenizers 0.15.1
Training procedure
Framework versions
- PEFT 0.6.0