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Sorour/
cls_finred_mistral_v1

Name: cls_finred_mistral_v1
Availability: InStock

generated_from_trainer

generator

mistralai/Mistral-7B-Instruct-v0.2

adapter

apache-2.0

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cls_finred_mistral_v1

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the generator dataset. It achieves the following results on the evaluation set:

Loss: 0.3613

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: 0.0002
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.6113	0.2078	20	0.5661
0.5351	0.4156	40	0.5132
0.4665	0.6234	60	0.4673
0.4252	0.8312	80	0.4380
0.3731	1.0390	100	0.4125
0.2856	1.2468	120	0.3930
0.2606	1.4545	140	0.3827
0.256	1.6623	160	0.3706
0.2508	1.8701	180	0.3613

Framework versions

PEFT 0.11.1
Transformers 4.41.0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1

Sorour/cls_finred_mistral_v1

cls_finred_mistral_v1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Sorour/
cls_finred_mistral_v1