ahmedgongi
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llama2-7b-4bit-ahmed

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llama2-7b-4bit-ahmed

This model is a fine-tuned version of facebook/opt-125m on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 3.6221

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: 1
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
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
3.5733	10.0	50	3.6221

Framework versions

PEFT 0.9.1.dev0
Transformers 4.39.0.dev0
Pytorch 2.1.2
Datasets 2.1.0
Tokenizers 0.15.2

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Model tree for ahmedgongi/llama2-7b-4bit-ahmed

Base model

facebook/opt-125m

Adapter

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this model

Evaluation results

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