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aryarishit/
mistral-instruct-resumebot

Name: mistral-instruct-resumebot
Availability: InStock

peft

tensorboard

safetensors

generated_from_trainer

TheBloke/Mistral-7B-Instruct-v0.2-GPTQ

adapter

apache-2.0

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mistral-instruct-resumebot

This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.8528

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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
4.0684	0.7273	2	3.2486
2.4659	1.8182	5	2.7598
2.1876	2.9091	8	2.4245
1.9866	4.0	11	2.1931
2.7635	4.7273	13	2.0712
1.7349	5.8182	16	1.9333
1.671	6.9091	19	1.8615
1.3639	7.2727	20	1.8528

Framework versions

PEFT 0.11.1
Transformers 4.41.2
Pytorch 2.1.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1

aryarishit/mistral-instruct-resumebot

mistral-instruct-resumebot

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

aryarishit/
mistral-instruct-resumebot