transformers safetensors mixtral text-generation generated_from_trainer base_model:Isotonic/smol_llama-4x220M-MoE license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: apache-2.0
base_model: Isotonic/smol_llama-4x220M-MoE
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: smol_llama_x
  results: []
---

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# smol_llama_x

This model is a fine-tuned version of [Isotonic/smol_llama-4x220M-MoE](https://huggingface.co/Isotonic/smol_llama-4x220M-MoE) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5906
- Accuracy: 0.6799

## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 211  | 1.4545          | 0.6908   |
| No log        | 2.0   | 422  | 1.4871          | 0.6881   |
| 1.4748        | 3.0   | 633  | 1.5353          | 0.6841   |
| 1.4748        | 4.0   | 844  | 1.5906          | 0.6799   |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2
