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sft-mistral-v2-clean-valid – AI Model by hllj | AlphaNeural AI
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hllj
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sft-mistral-v2-clean-valid
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transformers
safetensors
mistral
text-generation
generated_from_trainer
hllj/mistral-vi-math
finetune
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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sft-mistral-v2-clean-valid
This model is a fine-tuned version of
hllj/mistral-vi-math
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3176
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: 3e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.05
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.3163
0.23
500
0.4199
0.2988
1.02
1000
0.3697
0.2716
1.25
1500
0.3408
Framework versions
Transformers 4.35.2
Pytorch 2.1.0
Datasets 2.15.0
Tokenizers 0.15.0
