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atlaspilotpuppy/
Mistral-7B-Instruct-v0.2-atc

Name: Mistral-7B-Instruct-v0.2-atc
Availability: InStock

generated_from_trainer

generator

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

adapter

apache-2.0

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Mistral-7B-Instruct-v0.2-atc

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: 0.1517

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: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
training_steps: 100

Training results

Training Loss	Epoch	Step	Validation Loss
0.13	0.04	100	0.1517

Framework versions

PEFT 0.8.2
Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1

atlaspilotpuppy/Mistral-7B-Instruct-v0.2-atc

Mistral-7B-Instruct-v0.2-atc

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

atlaspilotpuppy/
Mistral-7B-Instruct-v0.2-atc