Llama2-7b-summarization-16k-daatapoints

mogmyij/Llama2-7b-summarization-16k-daatapoints

Llama2-7b-summarization-16k-daatapoints is a machine learning model from mogmyij. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as llama2.

should probably proofread and complete it, then remove this comment. --

Downloads · 30 days

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All-time downloads

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Repo size

67.1 MB

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Hugging Face

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At a glance

Library: peft
License: llama2
Access: Public
Created: May 28, 2024
Updated: May 28, 2024
SHA: d82c5ab6

Base models

meta-llama/Llama-2-7b-hf

Datasets

generator

Model card

From the Hugging Face model README

Llama2-7b-summarization-16k-daatapoints

This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the generator dataset. It achieves the following results on the evaluation set:

Loss: nan

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: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.05
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.763	0.9991	564	nan

Framework versions

PEFT 0.11.1
Transformers 4.41.1
Pytorch 2.3.0
Datasets 2.19.1
Tokenizers 0.19.1

Library: peft
License: llama2
Created: May 28, 2024
Updated: May 28, 2024