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ZeroShot-3.0.3-Mistral-7b-Multilanguage-3.0.3 – AI Model by Weni | AlphaNeural AI
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Weni
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ZeroShot-3.0.3-Mistral-7b-Multilanguage-3.0.3
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transformers
pytorch
safetensors
mistral
text-generation
generated_from_trainer
mistralai/Mistral-7B-v0.1
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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ZeroShot-3.0.3-Mistral-7b-Multilanguage-3.0.3
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: nan
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: 0.04
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
248.6968
1.0
915
nan
Framework versions
Transformers 4.34.0
Pytorch 2.0.1+cu117
Datasets 2.13.0
Tokenizers 0.14.1
