---
library_name: transformers
license: apache-2.0
base_model: HuggingFaceTB/SmolLM-135M
tags:
- generated_from_trainer
model-index:
- name: distily_smollm_dataset_sweep
  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. -->

# distily_smollm_dataset_sweep

This model is a fine-tuned version of [HuggingFaceTB/SmolLM-135M](https://huggingface.co/HuggingFaceTB/SmolLM-135M) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2261

## 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      | 19.2449         |
| 1.1157        | 0.0401 | 5000   | 1.0851          |
| 0.6609        | 0.0802 | 10000  | 0.6537          |
| 0.5549        | 0.1202 | 15000  | 0.5350          |
| 0.4606        | 0.1603 | 20000  | 0.4633          |
| 0.465         | 0.2004 | 25000  | 0.4193          |
| 0.3826        | 0.2405 | 30000  | 0.3880          |
| 0.3807        | 0.2806 | 35000  | 0.3668          |
| 0.3315        | 0.3206 | 40000  | 0.3475          |
| 0.3352        | 0.3607 | 45000  | 0.3333          |
| 0.3222        | 0.4008 | 50000  | 0.3209          |
| 0.2994        | 0.4409 | 55000  | 0.3103          |
| 0.3059        | 0.4810 | 60000  | 0.3016          |
| 0.3154        | 0.5210 | 65000  | 0.2924          |
| 0.2986        | 0.5611 | 70000  | 0.2855          |
| 0.2696        | 0.6012 | 75000  | 0.2785          |
| 0.254         | 0.6413 | 80000  | 0.2726          |
| 0.2561        | 0.6814 | 85000  | 0.2662          |
| 0.2602        | 0.7214 | 90000  | 0.2605          |
| 0.2592        | 0.7615 | 95000  | 0.2558          |
| 0.2417        | 0.8016 | 100000 | 0.2506          |
| 0.23          | 0.8417 | 105000 | 0.2455          |
| 0.2329        | 0.8818 | 110000 | 0.2406          |
| 0.2302        | 0.9218 | 115000 | 0.2360          |
| 0.2722        | 0.9619 | 120000 | 0.2312          |


### Framework versions

- Transformers 4.45.0.dev0
- Pytorch 2.5.0.dev20240910+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1