lua-mistral-1L-tiny / README.md
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---
tags:
- generated_from_trainer
datasets:
- nilq/small-lua-stack
model-index:
- name: lua-mistral-1L-tiny
results: []
---
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# lua-mistral-1L-tiny
This model is a fine-tuned version of [](https://huggingface.co/) on the nilq/small-lua-stack dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1614
## 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: 0.0006
- train_batch_size: 64
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 3.0
### Training results
### Framework versions
- Transformers 4.38.1
- Pytorch 2.2.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2