metadata
library_name: transformers
license: apache-2.0
base_model: HuggingFaceTB/SmolLM-135M
tags:
- generated_from_trainer
model-index:
- name: distily_smollm_dataset_sweep
results: []
distily_smollm_dataset_sweep
This model is a fine-tuned version of HuggingFaceTB/SmolLM-135M on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2647
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: polynomial
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0 | 0 | 18.8388 |
| 1.2041 | 0.0401 | 5000 | 1.1584 |
| 0.7528 | 0.0802 | 10000 | 0.7396 |
| 0.5961 | 0.1202 | 15000 | 0.6070 |
| 0.5023 | 0.1603 | 20000 | 0.5307 |
| 0.4706 | 0.2004 | 25000 | 0.4836 |
| 0.4605 | 0.2405 | 30000 | 0.4512 |
| 0.417 | 0.2806 | 35000 | 0.4251 |
| 0.4027 | 0.3206 | 40000 | 0.4071 |
| 0.3693 | 0.3607 | 45000 | 0.3898 |
| 0.3745 | 0.4008 | 50000 | 0.3759 |
| 0.3652 | 0.4409 | 55000 | 0.3632 |
| 0.3537 | 0.4810 | 60000 | 0.3529 |
| 0.3665 | 0.5210 | 65000 | 0.3440 |
| 0.3177 | 0.5611 | 70000 | 0.3346 |
| 0.3102 | 0.6012 | 75000 | 0.3269 |
| 0.3023 | 0.6413 | 80000 | 0.3198 |
| 0.3076 | 0.6814 | 85000 | 0.3125 |
| 0.3388 | 0.7214 | 90000 | 0.3062 |
| 0.298 | 0.7615 | 95000 | 0.3003 |
| 0.3052 | 0.8016 | 100000 | 0.2941 |
| 0.2678 | 0.8417 | 105000 | 0.2880 |
| 0.2684 | 0.8818 | 110000 | 0.2824 |
| 0.274 | 0.9218 | 115000 | 0.2764 |
| 0.2647 | 0.9619 | 120000 | 0.2706 |
Framework versions
- Transformers 4.45.0.dev0
- Pytorch 2.5.0.dev20240910+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1