vicuna-7b-83k-dataset-new-combined

This model is a fine-tuned version of AlekseyKorshuk/vicuna-7b on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.6748
• Accuracy: 0.0120
• Entropy: 1.2679

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: 1.25e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• total_train_batch_size: 32
• total_eval_batch_size: 32
• optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.03
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Entropy
1.5148	1.0	5128	1.6201	0.0119	1.6315
0.875	2.0	10256	1.6748	0.0120	1.2679

Framework versions

• Transformers 4.28.1
• Pytorch 2.0.0+cu117
• Datasets 2.10.1
• Tokenizers 0.13.3