bio_mistral_channel_targeter_new_prompt

This model is a fine-tuned version of BioMistral/BioMistral-7B on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0644

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: 4
• eval_batch_size: 4
• seed: 42
• distributed_type: multi-GPU
• num_devices: 3
• total_train_batch_size: 12
• total_eval_batch_size: 12
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss
0.0524	1.0	317	0.0502
0.0466	2.0	634	0.0421
0.0158	3.0	951	0.0503
0.0047	4.0	1268	0.0644

Framework versions

• Transformers 4.36.0
• Pytorch 2.0.1+cu118
• Datasets 2.18.0
• Tokenizers 0.15.2