<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
starchat-clean
This model is a fine-tuned version of bigcode/starcoderbase on the crumb/Clean-Instruct-440k dataset. It achieves the following results on the evaluation set:
- Loss: 1.2266
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: 2e-05
- 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: 0.03
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.4135 | 0.99 | 55 | 1.3103 |
| 1.3429 | 2.0 | 111 | 1.2430 |
| 1.2432 | 2.98 | 166 | 1.2283 |
| 1.2808 | 3.96 | 220 | 1.2266 |
Framework versions
- Transformers 4.31.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.13.1
- Tokenizers 0.13.3
