metadata

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: []

rinko-test

This model is a fine-tuned version of 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