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README.md

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+Quantization made by Richard Erkhov.
+
+[Github](https://github.com/RichardErkhov)
+
+[Discord](https://discord.gg/pvy7H8DZMG)
+
+[Request more models](https://github.com/RichardErkhov/quant_request)
+
+
+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 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](https://huggingface.co/facebook/opt-350m) on an [gnumanth/dad-jokes](https://huggingface.co/datasets/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
+