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mistral_tiny

Text Generation

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text-generation-inference

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mistral_tiny

This model is a fine-tuned version of on an unknown dataset.

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: 0.0005
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 1000
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.39.1
Pytorch 2.2.1+cu121
Datasets 2.4.0
Tokenizers 0.15.2

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Safetensors

Model size

107M params

Tensor type

F32

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Text Generation

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Evaluation results

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