metadata
license: llama2
library_name: peft
tags:
- generated_from_trainer
base_model: codellama/CodeLlama-7b-Instruct-hf
model-index:
- name: finetuningnewmodule4
results: []
finetuningnewmodule4
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: 0.9178
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.688 | 1.0 | 1 | 2.7462 |
| 2.261 | 2.0 | 2 | 2.2006 |
| 1.7646 | 3.0 | 3 | 1.9486 |
| 1.518 | 4.0 | 4 | 1.7189 |
| 1.2896 | 5.0 | 5 | 1.4255 |
| 0.9851 | 6.0 | 6 | 1.1951 |
| 0.7157 | 7.0 | 7 | 1.0503 |
| 0.496 | 8.0 | 8 | 0.9871 |
| 0.3614 | 9.0 | 9 | 0.9348 |
| 0.2587 | 10.0 | 10 | 0.9178 |
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