cimphony-August – AI Model by aliREA | AlphaNeural AI

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cimphony-August

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mistralai/Mistral-7B-v0.1

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cimphony-clause

This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2086

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: 6
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 3
total_train_batch_size: 18
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	4	0.1776
No log	2.0	8	0.1456
0.2059	3.0	12	0.1422
0.2059	4.0	16	0.1480
0.0478	5.0	20	0.1666
0.0478	6.0	24	0.1812
0.0478	7.0	28	0.1966
0.011	8.0	32	0.2063
0.011	9.0	36	0.2079
0.0054	10.0	40	0.2086

Framework versions

PEFT 0.10.0
Transformers 4.41.2
Pytorch 2.1.2+cu121
Datasets 2.19.0
Tokenizers 0.19.1