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