transformers safetensors orion text-generation alignment-handbook trl sft generated_from_trainer conversational custom_code dataset:ikno/rinko_v2.14 base_model:OrionStarAI/Orion-14B-Chat autotrain_compatible region:us
---
base_model: OrionStarAI/Orion-14B-Chat
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
- trl
- sft
- generated_from_trainer
datasets:
- ikno/rinko_v2.14
model-index:
- name: rinko-test
  results: []
---

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# rinko-test

This model is a fine-tuned version of [OrionStarAI/Orion-14B-Chat](https://huggingface.co/OrionStarAI/Orion-14B-Chat) on the ikno/rinko_v2.14 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1385

## 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: 5e-07
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- total_eval_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.1777        | 1.0   | 305  | 1.1992          |
| 1.1046        | 2.0   | 611  | 1.1458          |
| 1.1129        | 3.0   | 915  | 1.1385          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.15.2
