mistral-7b-peptide-v2

Kamyar-zeinalipour/mistral-7b-peptide-v2

mistral-7b-peptide-v2 is a machine learning model from Kamyar-zeinalipour. Use it for the machine learning task on the model card, and read the license before you ship it in a product.

should probably proofread and complete it, then remove this comment. --

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At a glance

Model type: mistral
Access: Public
Created: Dec 15, 2024
Updated: Dec 15, 2024
SHA: b929805d

Model card

From the Hugging Face model README

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

Type: mistral
Created: Dec 15, 2024
Updated: Dec 15, 2024