metadata
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: mistralai/Mistral-7B-v0.1
model-index:
- name: mistral-7B-StaproCoder
results: []
mistral-7B-StaproCoder
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.9444
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: 0.0005
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- 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: 0.1
- training_steps: 2000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2899 | 0.05 | 100 | 0.2422 |
| 7.7491 | 0.1 | 200 | 6.5822 |
| 5.5972 | 0.15 | 300 | 5.4527 |
| 4.4573 | 0.2 | 400 | 4.4971 |
| 4.7321 | 0.25 | 500 | 4.5034 |
| 4.1145 | 0.3 | 600 | 4.2461 |
| 5.1351 | 0.35 | 700 | 5.2545 |
| 5.1292 | 0.4 | 800 | 4.9499 |
| 5.1284 | 0.45 | 900 | 4.9904 |
| 4.8504 | 0.5 | 1000 | 4.7120 |
| 4.7261 | 0.55 | 1100 | 4.7263 |
| 4.8442 | 0.6 | 1200 | 4.9208 |
| 4.5097 | 0.65 | 1300 | 4.3945 |
| 4.1656 | 0.7 | 1400 | 4.2131 |
| 3.7099 | 0.75 | 1500 | 4.1495 |
| 3.9017 | 0.8 | 1600 | 4.0261 |
| 4.019 | 0.85 | 1700 | 3.9943 |
| 4.0291 | 0.9 | 1800 | 3.9615 |
| 3.876 | 0.95 | 1900 | 3.9494 |
| 3.8402 | 1.0 | 2000 | 3.9444 |
Framework versions
- PEFT 0.9.0
- Transformers 4.39.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2