metadata
license: llama2
library_name: peft
tags:
- generated_from_trainer
base_model: codellama/CodeLlama-7b-hf
model-index:
- name: codellama-7b-openapi-completion-ctx-lvl-fim-05-spm-2048
results: []
codellama-7b-openapi-completion-ctx-lvl-fim-05-spm-2048
This model is a fine-tuned version of codellama/CodeLlama-7b-hf on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6230
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: 0.0002
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- training_steps: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.565 | 0.1 | 100 | 0.6378 |
| 0.4333 | 0.2 | 200 | 0.6510 |
| 0.2143 | 0.3 | 300 | 0.6492 |
| 0.5989 | 0.4 | 400 | 0.6225 |
| 0.4088 | 0.5 | 500 | 0.6230 |
| 0.3385 | 0.6 | 600 | 0.6325 |
| 0.644 | 0.7 | 700 | 0.6205 |
| 0.4412 | 0.8 | 800 | 0.6138 |
| 0.6179 | 0.9 | 900 | 0.6195 |
| 0.3764 | 1.0 | 1000 | 0.6230 |
Framework versions
- PEFT 0.10.1.dev0
- Transformers 4.41.0.dev0
- Pytorch 2.2.2+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1