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asthomas/
mistral_codedoc_finetuned

Name: mistral_codedoc_finetuned
Availability: InStock

generated_from_trainer

generator

mistralai/Mistral-7B-Instruct-v0.1

adapter

apache-2.0

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mistral_codedoc_finetuned

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.1 on the generator dataset. It achieves the following results on the evaluation set:

Loss: 0.9683

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: 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: 100
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.6499	10.0	20	0.6285
0.1661	20.0	40	0.7353
0.0168	30.0	60	0.8723
0.0092	40.0	80	0.9560
0.009	50.0	100	0.9683

Framework versions

PEFT 0.10.0
Transformers 4.39.3
Pytorch 2.2.2+cu121
Datasets 2.18.0
Tokenizers 0.15.2

asthomas/mistral_codedoc_finetuned

mistral_codedoc_finetuned

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

asthomas/
mistral_codedoc_finetuned