---
base_model: OrionStarAI/Orion-14B-Chat
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
model-index:
- name: rinko-test
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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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 generator dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1707

## 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: 2e-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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.3348        | 0.99  | 62   | 0.2483          |
| 0.2659        | 2.0   | 125  | 0.1883          |
| 0.2447        | 2.98  | 186  | 0.1707          |


### Framework versions

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