---
license: creativeml-openrail-m
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: 6b-jilp
  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. -->

# 6b-jilp

This model is a fine-tuned version of [PygmalionAI/pygmalion-6b](https://huggingface.co/PygmalionAI/pygmalion-6b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9014
- Accuracy: 0.1213
- Entropy: 1.8265

## 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: 1e-05
- train_batch_size: 12
- eval_batch_size: 8
- seed: 99
- distributed_type: multi-GPU
- gradient_accumulation_steps: 2
- total_train_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 5.0

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | Entropy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:-------:|
| 2.5421        | 1.0   | 2815  | 1.9824          | 0.1183   | 2.0945  |
| 2.426         | 2.0   | 5630  | 1.9443          | 0.1197   | 1.9446  |
| 2.4504        | 3.0   | 8445  | 1.9248          | 0.1204   | 1.9272  |
| 2.4573        | 4.0   | 11260 | 1.9102          | 0.1211   | 1.8612  |
| 2.4421        | 5.0   | 14075 | 1.9014          | 0.1213   | 1.8265  |


### Framework versions

- Transformers 4.28.1
- Pytorch 1.13.1
- Datasets 2.7.1
- Tokenizers 0.13.3