Quantization made by Richard Erkhov.

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pygm-350m-experimental - AWQ
- Model creator: https://huggingface.co/alpindale/
- Original model: https://huggingface.co/alpindale/pygm-350m-experimental/




Original model description:
---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: pygmalion-350m
  results: []
---

# pygmalion-350m

This model is a fine-tuned version of [PygmalionAI/pygmalion-350m](https://huggingface.co/PygmalionAI/pygmalion-350m/) on a 2.4MB dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2731
- Accuracy: 0.5187

## Model description

A proof-of-concept model based on PygmalionAI/pygmalion-350m, which was in turn based on OPT-350m.

This model was fine-tuned purely for testing purposes.

## Fine-tuning process

Fine-tuned on an A100-80GB with HF's `run_clm.py` script. It was run through 3 epochs with 8 batch size using 2.4MB dataset (split 75/25 between training and validation sets).

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Framework versions

- Transformers 4.27.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.10.0
- Tokenizers 0.13.2