llama-7b-chatml

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

• Loss: 0.7373
• Accuracy: 0.2687
• Entropy: 0.6897

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-05
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• distributed_type: multi-GPU
• num_devices: 2
• gradient_accumulation_steps: 16
• total_train_batch_size: 32
• total_eval_batch_size: 2
• optimizer: Adam with betas=(0.9,0.999) 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
0.6533	1.0	817	0.7036	0.2683	0.7874
0.4956	2.0	1634	0.7373	0.2687	0.6897

Framework versions

• Transformers 4.28.1
• Pytorch 2.0.0-rc1
• Datasets 2.10.1
• Tokenizers 0.13.3