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This model is a fine-tuned version of nisten/Biggie-SmoLlm-0.15B-Base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.8727
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: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 5
- training_steps: 800
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.7094 | 0.0920 | 50 | 3.5122 |
| 3.5464 | 0.1841 | 100 | 3.2981 |
| 3.4292 | 0.2761 | 150 | 3.1894 |
| 3.3576 | 0.3682 | 200 | 3.0917 |
| 3.35 | 0.4602 | 250 | 3.0353 |
| 3.3334 | 0.5522 | 300 | 2.9864 |
| 3.3096 | 0.6443 | 350 | 2.9512 |
| 3.2773 | 0.7363 | 400 | 2.9281 |
| 3.2343 | 0.8283 | 450 | 2.9118 |
| 3.2265 | 0.9204 | 500 | 2.9015 |
| 3.0257 | 1.0124 | 550 | 2.8853 |
| 2.9092 | 1.1045 | 600 | 2.8748 |
| 2.9109 | 1.1965 | 650 | 2.8732 |
| 2.9437 | 1.2885 | 700 | 2.8728 |
| 2.894 | 1.3806 | 750 | 2.8727 |
| 2.9286 | 1.4726 | 800 | 2.8727 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 3.0.0
- Tokenizers 0.19.1
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Model tree for archit11/worldmodel2
Base model
HuggingFaceTB/SmolLM-135M
Quantized
nisten/Biggie-SmoLlm-0.15B-Base