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aslinguist/
mistral-lora-Atayal

Name: mistral-lora-Atayal
Availability: InStock

peft

safetensors

generated_from_trainer

mistralai/Mistral-7B-Instruct-v0.3

adapter

apache-2.0

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mistral-lora-Atayal

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.3 on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.3653

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: 0.001
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 20
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.2914	1.0	479	1.4010
1.2283	2.0	958	1.3517
1.1401	3.0	1437	1.3524
1.0608	4.0	1916	1.3419
1.0669	5.0	2395	1.3455
0.9495	6.0	2874	1.3355
0.965	7.0	3353	1.3559
0.8684	8.0	3832	1.3565
0.7918	9.0	4311	1.3653

Framework versions

PEFT 0.15.0
Transformers 4.50.1
Pytorch 2.2.0+cu121
Datasets 3.4.1
Tokenizers 0.21.1

aslinguist/mistral-lora-Atayal

mistral-lora-Atayal

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

aslinguist/
mistral-lora-Atayal