Quantization made by Richard Erkhov.

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SpecAI - bnb 4bits
- Model creator: https://huggingface.co/gtonkov/
- Original model: https://huggingface.co/gtonkov/SpecAI/




Original model description:
---
library_name: transformers
license: other
base_model: microsoft/Phi-3.5-mini-instruct
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: SpecAI
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# SpecAI

This model is a fine-tuned version of [microsoft/Phi-3.5-mini-instruct](https://huggingface.co/microsoft/Phi-3.5-mini-instruct) on the api_eval_dataset 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: 3e-06
- train_batch_size: 4
- eval_batch_size: 8
- 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: cosine
- num_epochs: 32.0

### Training results



### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1