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tinyllama-medqa-jp-v1 – AI Model by jayeshvpatil | AlphaNeural AI

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jayeshvpatil/
tinyllama-medqa-jp-v1

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text-generation

generated_from_trainer

TinyLlama/TinyLlama-1.1B-Chat-v1.0

autotrain_compatible

text-generation-inference

endpoints_compatible

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tinyllama-medqa-jp-v1

This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 on the None 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: 0.0002
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
training_steps: 250
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1