SmolLM2-FT
This model is a fine-tuned version of HuggingFaceTB/SmolLM2-135M on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0016
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0523 | 0.0885 | 50 | 1.1397 |
| 1.096 | 0.1770 | 100 | 1.1030 |
| 1.048 | 0.2655 | 150 | 1.0750 |
| 1.0342 | 0.3540 | 200 | 1.0596 |
| 1.0262 | 0.4425 | 250 | 1.0505 |
| 1.0168 | 0.5310 | 300 | 1.0413 |
| 0.989 | 0.6195 | 350 | 1.0342 |
| 0.992 | 0.7080 | 400 | 1.0307 |
| 1.0056 | 0.7965 | 450 | 1.0224 |
| 1.0605 | 0.8850 | 500 | 1.0137 |
| 0.9758 | 0.9735 | 550 | 1.0081 |
| 0.7922 | 1.0619 | 600 | 1.0134 |
| 0.8005 | 1.1504 | 650 | 1.0096 |
| 0.7443 | 1.2389 | 700 | 1.0111 |
| 0.8439 | 1.3274 | 750 | 1.0089 |
| 0.8013 | 1.4159 | 800 | 1.0050 |
| 0.7648 | 1.5044 | 850 | 1.0054 |
| 0.8123 | 1.5929 | 900 | 1.0030 |
| 0.8511 | 1.6814 | 950 | 1.0018 |
| 0.7797 | 1.7699 | 1000 | 1.0016 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.1+cu118
- Datasets 3.0.2
- Tokenizers 0.20.0
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Base model
HuggingFaceTB/SmolLM2-135M