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sejaljn/
Mistral-7B-3_0.2

Name: Mistral-7B-3_0.2
Availability: InStock

generated_from_trainer

generator

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

adapter

apache-2.0

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Mistral-7B-3_0.2

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.3 on the generator dataset. It achieves the following results on the evaluation set:

Loss: 0.5452

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: 3
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 24
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
lr_scheduler_warmup_steps: 15
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
0.4555	0.84	10	0.4431
0.0349	1.68	20	0.5404
0.0222	2.53	30	0.5452

Framework versions

PEFT 0.8.2
Transformers 4.38.2
Pytorch 2.5.1+cu118
Datasets 2.16.1
Tokenizers 0.15.2

sejaljn/Mistral-7B-3_0.2

Mistral-7B-3_0.2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

sejaljn/
Mistral-7B-3_0.2