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gnumanth_-_dadjokes-tuned-opt-awq – AI Model by RichardErkhov | AlphaNeural AI

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gnumanth_-_dadjokes-tuned-opt-awq

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dadjokes-tuned-opt - AWQ

Model creator: https://huggingface.co/gnumanth/
Original model: https://huggingface.co/gnumanth/dadjokes-tuned-opt/

Original model description:

license: mit base_model: facebook/opt-350m tags:

trl
sft
gnumanth/dadjokes-trained-opt model-index:
name: tmp_trainer results: [] datasets:
gnumanth/dad-jokes language:
en pipeline_tag: text-generation widget:
text: "joke"

This model is a fine-tuned version of facebook/opt-350m on an gnumanth/dad-jokes dataset.

Model description

SFT Trained simple model for fun!

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Training results

TrainOutput(global_step=18, training_loss=2.2378472222222223, metrics={'train_runtime': 149.7511, 'train_samples_per_second': 0.881, 'train_steps_per_second': 0.12, 'total_flos': 9828797644800.0, 'train_loss': 2.2378472222222223, 'epoch': 3.0})

Framework versions

Transformers 4.38.1
Pytorch 2.1.0+cu121
Datasets 2.17.1
Tokenizers 0.15.1