metadata
license: llama2
base_model: Phind/Phind-CodeLlama-34B-v2
tags:
- generated_from_trainer
model-index:
- name: qlora-out
results: []
qlora-out
This model is a fine-tuned version of Phind/Phind-CodeLlama-34B-v2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: nan
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: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 6
- gradient_accumulation_steps: 3
- total_train_batch_size: 18
- total_eval_batch_size: 6
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2069 | 0.1 | 20 | nan |
| 0.0986 | 0.21 | 40 | nan |
| 0.1101 | 0.31 | 60 | nan |
| 0.072 | 0.41 | 80 | nan |
| 0.1258 | 0.52 | 100 | nan |
| 0.0675 | 0.62 | 120 | nan |
| 0.0728 | 0.72 | 140 | nan |
| 0.115 | 0.83 | 160 | nan |
| 0.0769 | 0.93 | 180 | nan |
| 0.0609 | 1.03 | 200 | nan |
| 0.0881 | 1.14 | 220 | nan |
| 0.0674 | 1.24 | 240 | nan |
| 0.0476 | 1.34 | 260 | nan |
| 0.0259 | 1.45 | 280 | nan |
| 0.0534 | 1.55 | 300 | nan |
| 0.0449 | 1.65 | 320 | nan |
| 0.0325 | 1.76 | 340 | nan |
| 0.03 | 1.86 | 360 | nan |
| 0.0416 | 1.96 | 380 | nan |
Framework versions
- Transformers 4.35.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1