Mistral-Nemo-Kurdish

3
2 languages
license:apache-2.0
by
nazimali
Language Model
OTHER
2407B params
New
0 downloads
Early-stage
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Edge AI:
Mobile
Laptop
Server
5381GB+ RAM
Mobile
Laptop
Server
Quick Summary

Continued pre-training on `mistralai/Mistral-Nemo-Instruct-2407` using the Kurdish wiki dataset with `unsloth`.

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
2242GB+ RAM

Code Examples

Trainingjson
{
  "total_flos": 4121524790259794000,
  "train/epoch": 1,
  "train/global_step": 1960,
  "train/grad_norm": 3.1958093643188477,
  "train/learning_rate": 0,
  "train/loss": 1.2108,
  "train_loss": 1.256846008738693,
  "train_runtime": 23227.1752,
  "train_samples_per_second": 2.7,
  "train_steps_per_second": 0.084
}
Trainingjson
{
  "total_flos": 4121524790259794000,
  "train/epoch": 1,
  "train/global_step": 1960,
  "train/grad_norm": 3.1958093643188477,
  "train/learning_rate": 0,
  "train/loss": 1.2108,
  "train_loss": 1.256846008738693,
  "train_runtime": 23227.1752,
  "train_samples_per_second": 2.7,
  "train_steps_per_second": 0.084
}
Trainingjson
{
  "total_flos": 4121524790259794000,
  "train/epoch": 1,
  "train/global_step": 1960,
  "train/grad_norm": 3.1958093643188477,
  "train/learning_rate": 0,
  "train/loss": 1.2108,
  "train_loss": 1.256846008738693,
  "train_runtime": 23227.1752,
  "train_samples_per_second": 2.7,
  "train_steps_per_second": 0.084
}
Trainingjson
{
  "total_flos": 4121524790259794000,
  "train/epoch": 1,
  "train/global_step": 1960,
  "train/grad_norm": 3.1958093643188477,
  "train/learning_rate": 0,
  "train/loss": 1.2108,
  "train_loss": 1.256846008738693,
  "train_runtime": 23227.1752,
  "train_samples_per_second": 2.7,
  "train_steps_per_second": 0.084
}
Trainingjson
{
  "total_flos": 4121524790259794000,
  "train/epoch": 1,
  "train/global_step": 1960,
  "train/grad_norm": 3.1958093643188477,
  "train/learning_rate": 0,
  "train/loss": 1.2108,
  "train_loss": 1.256846008738693,
  "train_runtime": 23227.1752,
  "train_samples_per_second": 2.7,
  "train_steps_per_second": 0.084
}
Trainingjson
{
  "total_flos": 4121524790259794000,
  "train/epoch": 1,
  "train/global_step": 1960,
  "train/grad_norm": 3.1958093643188477,
  "train/learning_rate": 0,
  "train/loss": 1.2108,
  "train_loss": 1.256846008738693,
  "train_runtime": 23227.1752,
  "train_samples_per_second": 2.7,
  "train_steps_per_second": 0.084
}

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