metadata
license: bigcode-openrail-m
tags:
- generated_from_trainer
model-index:
- name: starcoder_sc_final_small_context
results: []
starcoder_sc_final_small_context
This model is a fine-tuned version of bigcode/starcoder on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5978
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: 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
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.619 | 1.0 | 156 | 0.5978 |
Framework versions
- Transformers 4.30.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3