mistral-7b-peptide-v6

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.2877

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-05
• train_batch_size: 3
• eval_batch_size: 3
• seed: 42
• distributed_type: multi-GPU
• num_devices: 4
• gradient_accumulation_steps: 4
• total_train_batch_size: 48
• total_eval_batch_size: 12
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 30
• training_steps: 200

Training results

Training Loss	Epoch	Step	Validation Loss
0.122	0.25	50	0.2309
0.0801	0.5	100	0.2175
0.044	0.75	150	0.2207
0.036	1.0	200	0.2877

Framework versions

• Transformers 4.44.0.dev0
• Pytorch 2.1.0+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1