mistral-7b-peptide-v2

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

• Loss: 3.3878

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: 1100

Training results

Training Loss	Epoch	Step	Validation Loss
1.8125	0.0909	100	1.8548
0.3637	0.1818	200	2.3370
0.2775	0.2727	300	2.4800
0.2097	0.3636	400	2.8027
0.1534	0.4545	500	2.8239
0.0907	0.5455	600	3.3357
0.0706	0.6364	700	3.1721
0.0569	0.7273	800	3.4330
0.0473	0.8182	900	3.3746
0.0455	0.9091	1000	3.4352
0.0424	1.0	1100	3.3878

Framework versions

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