gnumanth_-_dadjokes-tuned-opt-awq

Quantization made by Richard Erkhov.

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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"

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<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

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