metadata
license: llama2
base_model: codellama/CodeLlama-7b-Instruct-hf
tags:
- generated_from_trainer
model-index:
- name: finetuningqvk1
results: []
finetuningqvk1
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: 1.3415
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: 6
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.688 | 1.0 | 1 | 2.7638 |
| 2.275 | 2.0 | 2 | 2.2309 |
| 1.8141 | 3.0 | 3 | 1.9247 |
| 1.4948 | 4.0 | 4 | 1.6327 |
| 1.2029 | 5.0 | 5 | 1.4417 |
| 0.9743 | 6.0 | 6 | 1.3415 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.0.1
- Datasets 2.16.1
- Tokenizers 0.13.3