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persian-stablelm
This model is a fine-tuned version of stabilityai/stablelm-3b-4e1t on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.0159
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: 0.0005
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- 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 |
|---|---|---|---|
| 4.6872 | 0.09 | 100 | 4.5976 |
| 4.1956 | 0.18 | 200 | 4.4367 |
| 4.3439 | 0.27 | 300 | 4.3083 |
| 4.3709 | 0.36 | 400 | 4.2462 |
| 4.3886 | 0.45 | 500 | 4.1890 |
| 4.402 | 0.54 | 600 | 4.1248 |
| 4.043 | 0.63 | 700 | 4.0840 |
| 4.1489 | 0.72 | 800 | 4.0423 |
| 4.1139 | 0.81 | 900 | 4.0251 |
| 4.273 | 0.9 | 1000 | 4.0162 |
| 3.8663 | 1.0 | 1100 | 4.0159 |
Framework versions
- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
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Model tree for M-Mahdi-Setak/persian-stablelm
Base model
stabilityai/stablelm-3b-4e1t