cimphony-compl – AI Model by aliREA | AlphaNeural AI

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aliREA/
cimphony-compl

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mistralai/Mistral-7B-v0.1

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cimphony-compl

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: 0.6301

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	1	0.6950
No log	2.0	2	0.6162
No log	3.0	3	0.5968
No log	4.0	4	0.5928
No log	5.0	5	0.5981
No log	6.0	6	0.6042
No log	7.0	7	0.6148
No log	8.0	8	0.6240
No log	9.0	9	0.6280
0.1203	10.0	10	0.6301

Framework versions

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