AK-12
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my-llama-2

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my-llama-2

This model is a fine-tuned version of TinyPixel/Llama-2-7B-bf16-sharded 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: 0.0002
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
training_steps: 100

Training results

Framework versions

Transformers 4.32.1
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3

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Model tree for AK-12/my-llama-2

Base model

TinyPixel/Llama-2-7B-bf16-sharded

Finetuned

(20)

this model

Evaluation results

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