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mistral-instruct_final – AI Model by Sibinraj | AlphaNeural AI
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Sibinraj
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mistral-instruct_final
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
mistralai/Mistral-7B-Instruct-v0.1
adapter
apache-2.0
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mistral-instruct_final
This model is a fine-tuned version of
mistralai/Mistral-7B-Instruct-v0.1
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3245
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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_steps: 2
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.3612
1.0
657
0.3222
0.2373
2.0
1314
0.3245
Framework versions
PEFT 0.12.0
Transformers 4.42.3
Pytorch 2.1.2
Datasets 2.20.0
Tokenizers 0.19.1
