---
base_model: liminerity/Bitnet-Mistral.0.2-330m-v0.2-grokfast-v2.9
tags:
- generated_from_trainer
model-index:
- name: Bitnet-Mistral.0.2-330m-v0.2-grokfast-v3
  results: []
---

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# Bitnet-Mistral.0.2-330m-v0.2-grokfast-v3

This model is a fine-tuned version of [liminerity/Bitnet-Mistral.0.2-330m-v0.2-grokfast-v2.9](https://huggingface.co/liminerity/Bitnet-Mistral.0.2-330m-v0.2-grokfast-v2.9) on the None dataset.

## 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: 2.5e-06
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1