Feature Extraction
Transformers
Safetensors
sdar
llama-factory
full
Generated from Trainer
custom_code
Instructions to use armanakbari4/sdar_4b_opencodeinstruct-dynamic-10epochSansa__mix_BackwardAveraged_0129_0640 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use armanakbari4/sdar_4b_opencodeinstruct-dynamic-10epochSansa__mix_BackwardAveraged_0129_0640 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="armanakbari4/sdar_4b_opencodeinstruct-dynamic-10epochSansa__mix_BackwardAveraged_0129_0640", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("armanakbari4/sdar_4b_opencodeinstruct-dynamic-10epochSansa__mix_BackwardAveraged_0129_0640", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download train_results.json from armanakbari4/sdar_4b_opencodeinstruct-dynamic-10epochSansa__mix_BackwardAveraged_0129_0640: direct link, hf CLI and curl.
- Browser
- Download file 210 Bytes
-
https://huggingface.co/armanakbari4/sdar_4b_opencodeinstruct-dynamic-10epochSansa__mix_BackwardAveraged_0129_0640/resolve/main/train_results.json
- Command line
-
hf download hf://armanakbari4/sdar_4b_opencodeinstruct-dynamic-10epochSansa__mix_BackwardAveraged_0129_0640/train_results.json
-
curl -L -o train_results.json https://huggingface.co/armanakbari4/sdar_4b_opencodeinstruct-dynamic-10epochSansa__mix_BackwardAveraged_0129_0640/resolve/main/train_results.json
210 Bytes
| { | |
| "epoch": 4.0, | |
| "total_flos": 2.6749689222432765e+20, | |
| "train_loss": 2.9991646590734216, | |
| "train_runtime": 542355.0312, | |
| "train_samples_per_second": 9.978, | |
| "train_steps_per_second": 0.005 | |
| } |