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mistral-journal-finetune – AI Model by aloulouuuuu1602 | AlphaNeural AI
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mistral-journal-finetune
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peft
safetensors
generated_from_trainer
mistralai/Mistral-7B-v0.1
adapter
apache-2.0
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mistral-journal-finetune
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: 0.9272
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: 0.0001
train_batch_size: 2
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1
training_steps: 500
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.0394
0.01
125
0.9775
0.9762
0.02
250
0.9614
0.9445
0.03
375
0.9427
0.9526
0.04
500
0.9272
Framework versions
PEFT 0.9.1.dev0
Transformers 4.39.0.dev0
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2
