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--- |
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license: mit |
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base_model: facebook/opt-350m |
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tags: |
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- trl |
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- sft |
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- gnumanth/dadjokes-trained-opt |
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model-index: |
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- name: tmp_trainer |
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results: [] |
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datasets: |
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- gnumanth/dad-jokes |
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language: |
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- en |
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pipeline_tag: text-generation |
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widget: |
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- text: "joke" |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# |
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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. |
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## Model description |
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SFT Trained simple model for fun! |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 3.0 |
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### Training results |
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``` |
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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}) |
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``` |
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### Framework versions |
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- Transformers 4.38.1 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.1 |