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mistral-7b-v01-zalo-finetune – AI Model by deeplearninghcmus | AlphaNeural AI
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mistral-7b-v01-zalo-finetune
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safetensors
generated_from_trainer
mistralai/Mistral-7B-v0.1
finetune
apache-2.0
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mistral-7b-v01-zalo-finetune
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: 0.5869
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-06
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
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: 5
training_steps: 200
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
2.5612
0.01
50
2.0262
1.485
0.03
100
0.9862
0.7698
0.04
150
0.6546
0.6127
0.06
200
0.5869
Framework versions
Transformers 4.36.0.dev0
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0
