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lillybak/
mistral7binstruct_summarize

generated_from_trainer

generator

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

adapter

apache-2.0

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mistral7binstruct_summarize

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: 1.4327

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: 1
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_steps: 0.03
training_steps: 125

Training results

Training Loss	Epoch	Step	Validation Loss
1.7572	0.17	20	1.5089
1.5374	0.34	40	1.4566
1.4774	0.51	60	1.4456
1.5517	0.68	80	1.4398
1.5103	0.85	100	1.4347
1.4976	1.02	120	1.4327

Framework versions

PEFT 0.9.0
Transformers 4.38.2
Pytorch 2.1.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2

lillybak/mistral7binstruct_summarize

mistral7binstruct_summarize

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

lillybak/
mistral7binstruct_summarize