---
base_model: HuggingFaceTB/SmolLM-135M
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: databricks_smoLLM
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# databricks_smoLLM

This model is a fine-tuned version of [HuggingFaceTB/SmolLM-135M](https://huggingface.co./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