Text Generation
Transformers
TensorBoard
Safetensors
opt
Generated from Trainer
text-generation-inference
How to use from
SGLangUse Docker images
docker run --gpus all \
--shm-size 32g \
-p 30000:30000 \
-v ~/.cache/huggingface:/root/.cache/huggingface \
--env "HF_TOKEN=<secret>" \
--ipc=host \
lmsysorg/sglang:latest \
python3 -m sglang.launch_server \
--model-path "ccore/getcode" \
--host 0.0.0.0 \
--port 30000# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
-H "Content-Type: application/json" \
--data '{
"model": "ccore/getcode",
"prompt": "Once upon a time,",
"max_tokens": 512,
"temperature": 0.5
}'Quick Links
getcode
This model is a fine-tuned version of facebook/opt-125m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3129
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: 0.0004
- train_batch_size: 16
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 22 | 1.8588 |
| No log | 2.0 | 44 | 1.4885 |
| No log | 3.0 | 66 | 1.3922 |
| No log | 4.0 | 88 | 1.3830 |
| No log | 5.0 | 110 | 1.3547 |
| No log | 6.0 | 132 | 1.3556 |
| No log | 7.0 | 154 | 1.3672 |
| No log | 8.0 | 176 | 1.3509 |
| No log | 9.0 | 198 | 1.3414 |
| No log | 10.0 | 220 | 1.3428 |
| No log | 11.0 | 242 | 1.3361 |
| No log | 12.0 | 264 | 1.3332 |
| No log | 13.0 | 286 | 1.3333 |
| No log | 14.0 | 308 | 1.3280 |
| No log | 15.0 | 330 | 1.3232 |
| No log | 16.0 | 352 | 1.3215 |
| No log | 17.0 | 374 | 1.3185 |
| No log | 18.0 | 396 | 1.3142 |
| No log | 19.0 | 418 | 1.3129 |
| No log | 19.0947 | 420 | 1.3129 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
- Downloads last month
- 14
Model tree for ccore/getcode
Base model
facebook/opt-125m
Install from pip and serve model
# Install SGLang from pip: pip install sglang# Start the SGLang server: python3 -m sglang.launch_server \ --model-path "ccore/getcode" \ --host 0.0.0.0 \ --port 30000# Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ccore/getcode", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'