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---
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
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