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---
license: llama2
base_model: codellama/CodeLlama-7b-hf
pipeline_tag: text-generation
tags:
- generated_from_trainer
model-index:
- name: yaml-generator-code-llama
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# yaml-generator-code-llama
This model is a fine-tuned version of [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/CodeLlama-7b-hf) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2591
## 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: 32
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 400
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.2925 | 20.0 | 20 | 1.2292 |
| 0.2156 | 40.0 | 40 | 0.9743 |
| 0.07 | 60.0 | 60 | 1.4266 |
| 0.007 | 80.0 | 80 | 2.0256 |
| 0.0041 | 100.0 | 100 | 1.9838 |
| 0.0015 | 120.0 | 120 | 2.0320 |
| 0.0012 | 140.0 | 140 | 2.0818 |
| 0.0012 | 160.0 | 160 | 2.1403 |
| 0.0012 | 180.0 | 180 | 2.1771 |
| 0.0012 | 200.0 | 200 | 2.1751 |
| 0.0012 | 220.0 | 220 | 2.1825 |
| 0.0012 | 240.0 | 240 | 2.2240 |
| 0.0012 | 260.0 | 260 | 2.2226 |
| 0.0012 | 280.0 | 280 | 2.2172 |
| 0.0012 | 300.0 | 300 | 2.2235 |
| 0.0012 | 320.0 | 320 | 2.2202 |
| 0.0012 | 340.0 | 340 | 2.2471 |
| 0.0012 | 360.0 | 360 | 2.2475 |
| 0.0012 | 380.0 | 380 | 2.2709 |
| 0.0012 | 400.0 | 400 | 2.2591 |
### Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
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