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HachiML/
mistral-7b-sft-lora-ha-v0.3_cleaned

Name: mistral-7b-sft-lora-ha-v0.3_cleaned
Availability: InStock

generated_from_trainer

generator

HachiML/Hachi-Alpaca-Mixtral-8x22B-Instruct-v0.1

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

adapter

apache-2.0

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mistral-7b-sft-lora-ha-v0.3_cleaned

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: 1.0950

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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.05
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
1.9176	1.0	48	1.3600
1.2058	2.0	96	1.1674
1.1141	3.0	144	1.1143
1.0792	4.0	192	1.0958
1.0715	5.0	240	1.0950

Framework versions

PEFT 0.10.0
Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1

HachiML/mistral-7b-sft-lora-ha-v0.3_cleaned

mistral-7b-sft-lora-ha-v0.3_cleaned

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

HachiML/
mistral-7b-sft-lora-ha-v0.3_cleaned