---
library_name: transformers
license: apache-2.0
base_model: HuggingFaceTB/SmolLM2-135M-Instruct
tags:
- generated_from_trainer
datasets:
- generator
model-index:
- name: distilled_alpaca_combined
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilled_alpaca_combined

This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-135M-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM2-135M-Instruct) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0980

## 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: 3e-05
- train_batch_size: 4
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.1025        | 0.5722 | 500  | 0.1032          |
| 0.0955        | 1.1445 | 1000 | 0.1000          |
| 0.0934        | 1.7167 | 1500 | 0.0988          |
| 0.0906        | 2.2890 | 2000 | 0.0983          |
| 0.0911        | 2.8612 | 2500 | 0.0980          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.2.0
- Tokenizers 0.19.1