metadata
base_model: HuggingFaceTB/SmolLM-135M
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: databricks_smoLLM
results: []
databricks_smoLLM
This model is a fine-tuned version of HuggingFaceTB/SmolLM-135M on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.3961
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 375 | 2.2360 |
| 2.2313 | 2.0 | 750 | 2.2261 |
| 1.9899 | 3.0 | 1125 | 2.2366 |
| 1.8532 | 4.0 | 1500 | 2.2560 |
| 1.8532 | 5.0 | 1875 | 2.2812 |
| 1.7256 | 6.0 | 2250 | 2.3115 |
| 1.6295 | 7.0 | 2625 | 2.3371 |
| 1.5634 | 8.0 | 3000 | 2.3663 |
| 1.5634 | 9.0 | 3375 | 2.3875 |
| 1.5089 | 10.0 | 3750 | 2.3961 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1