140a7464-424c-42f0-9214-3fcc9657a84b
This model is a fine-tuned version of unsloth/SmolLM2-360M-Instruct on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3926
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: 0.000208
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 50
- training_steps: 400
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0036 | 1 | 0.5470 |
| 0.4597 | 0.1810 | 50 | 0.4409 |
| 0.433 | 0.3620 | 100 | 0.4237 |
| 0.4326 | 0.5430 | 150 | 0.4230 |
| 0.4311 | 0.7240 | 200 | 0.4112 |
| 0.4015 | 0.9050 | 250 | 0.4021 |
| 0.395 | 1.0860 | 300 | 0.4029 |
| 0.3898 | 1.2670 | 350 | 0.3991 |
| 0.3858 | 1.4480 | 400 | 0.3926 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
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Model tree for lesso/140a7464-424c-42f0-9214-3fcc9657a84b
Base model
HuggingFaceTB/SmolLM2-360M-Instruct
Finetuned
unsloth/SmolLM2-360M-Instruct