lc_v7_select – AI Model by nerottt | AlphaNeural AI

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lc_v7_select

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mistralai/Mistral-7B-v0.1

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lc_v7_select

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: 1.3328

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: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
1.4231	1.0	297	1.3575
1.2756	2.0	594	1.3408
1.2876	3.0	891	1.3342
1.2691	4.0	1188	1.3322
1.239	5.0	1485	1.3334
1.2492	6.0	1782	1.3324
1.3679	7.0	2079	1.3325
1.3518	8.0	2376	1.3329
1.2306	9.0	2673	1.3333
1.2744	10.0	2970	1.3328

Framework versions

PEFT 0.11.1
Transformers 4.41.2
Pytorch 2.1.0+cu118
Datasets 2.20.0
Tokenizers 0.19.1