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results_mixtral_sft – AI Model by Mozuka | AlphaNeural AI
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results_mixtral_sft
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
mistralai/Mixtral-8x7B-v0.1
adapter
apache-2.0
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results_mixtral_sft
This model is a fine-tuned version of
mistralai/Mixtral-8x7B-v0.1
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.5315
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 30
training_steps: 300
Training results
Training Loss
Epoch
Step
Validation Loss
3.1526
0.08
50
2.8850
2.65
0.17
100
2.5706
2.5321
0.25
150
2.5223
2.478
0.34
200
2.5239
2.5185
0.42
250
2.5304
2.5119
0.5
300
2.5315
Framework versions
PEFT 0.8.2
Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2
