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Unagami_TinyLlama_Test

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Unagami_TinyLlama_Test

This model is a fine-tuned version of PY007/TinyLlama-1.1B-intermediate-step-240k-503b on an unknown dataset.

Model description

More information needed

Intended uses & limitations

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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: linear
lr_scheduler_warmup_steps: 2
training_steps: 500

Training results

Framework versions

Transformers 4.34.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3

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Model tree for VatsaDev/Unagami_TinyLlama_Test

Base model

TinyLlama/TinyLlama-1.1B-intermediate-step-240k-503b

Finetuned

(3)

this model

Evaluation results

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