---
license: apache-2.0
base_model: HuggingFaceTB/SmolLM2-135M-Instruct
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: SmolLM2-135M-Instruct_tldr-sft
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# SmolLM2-135M-Instruct_tldr-sft

This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-135M-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM2-135M-Instruct) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4363

## 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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.4812        | 0.2   | 730  | 2.4774          |
| 2.4521        | 0.4   | 1460 | 2.4518          |
| 2.4463        | 0.6   | 2190 | 2.4406          |
| 2.4265        | 0.8   | 2920 | 2.4363          |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2