mistral-7b-results-old – AI Model by kta-dev | AlphaNeural AI

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kta-dev/
mistral-7b-results-old

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mistralai/Mistral-7B-v0.1

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results

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

Loss: 1.3976

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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.4486	0.0	1	1.4197
1.3118	0.0	2	1.4156
1.479	0.0	3	1.4118
1.2823	0.01	4	1.4085
1.3239	0.01	5	1.4056
1.3008	0.01	6	1.4030
1.4906	0.01	7	1.4009
1.278	0.01	8	1.3992
1.3363	0.01	9	1.3981
1.351	0.02	10	1.3976

Framework versions

PEFT 0.10.0
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2