metadata
license: bigcode-openrail-m
base_model: bigcode/starcoderbase-7b
tags:
- generated_from_trainer
model-index:
- name: starcoderbase_4096_context_length
results: []
starcoderbase_4096_context_length
This model is a fine-tuned version of bigcode/starcoderbase-7b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8997
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: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 30
- training_steps: 2000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4976 | 0.05 | 100 | 0.5844 |
| 0.2996 | 0.1 | 200 | 0.5433 |
| 0.1736 | 0.15 | 300 | 0.5837 |
| 0.1341 | 0.2 | 400 | 0.6009 |
| 0.1716 | 0.25 | 500 | 0.6422 |
| 0.8849 | 0.3 | 600 | 0.7839 |
| 0.0851 | 0.35 | 700 | 0.7452 |
| 0.4099 | 0.4 | 800 | 0.7286 |
| 0.0489 | 0.45 | 900 | 0.6492 |
| 0.0506 | 0.5 | 1000 | 0.7042 |
| 0.0377 | 0.55 | 1100 | 0.7663 |
| 0.0343 | 0.6 | 1200 | 0.7914 |
| 0.0226 | 0.65 | 1300 | 0.8043 |
| 0.0251 | 0.7 | 1400 | 0.8287 |
| 0.0212 | 0.75 | 1500 | 0.8671 |
| 0.0205 | 0.8 | 1600 | 0.8662 |
| 0.0195 | 0.85 | 1700 | 0.8908 |
| 0.0178 | 0.9 | 1800 | 0.8834 |
| 0.0185 | 0.95 | 1900 | 0.9005 |
| 0.0159 | 1.0 | 2000 | 0.8997 |
Framework versions
- Transformers 4.43.3
- Pytorch 2.4.0a0+07cecf4168.nv24.05
- Datasets 2.20.0
- Tokenizers 0.19.1