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README.md ADDED
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+ ---
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+ library_name: transformers
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+ base_model: EleutherAI/pythia-14m
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: pythia-14m-finewebedu-sentences
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+ results: []
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+ ---
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+
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+ # pythia-14m-finewebedu-sentences
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+
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+ - Generate half intelligible English sentences using a small GPT like model.
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+ - Will output one sentence at a time.
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+
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+ This model is a fine-tuned version of [EleutherAI/pythia-14m](https://huggingface.co/EleutherAI/pythia-14m) on the [agentlans/finewebedu-sentences dataset](https://huggingface.co/datasets/agentlans/finewebedu-sentences).
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+
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+ ## Model description
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+
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+ To generate 10 random sentences starting from an empty string on a CUDA device:
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+
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+ ```python
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+ from transformers import pipeline, set_seed
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+
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+ generator = pipeline('text-generation', model='agentlans/pythia-14m-finewebedu-sentences', device='cuda')
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+
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+ set_seed(1234)
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+ results = generator("", max_length=100, num_return_sequences=10, do_sample=True)
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+
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+ for x in results:
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+ print(x['generated_text'])
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+ ```
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+
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+ Output:
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+ ```text
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+ The main outcome is that the group is associated with other domains.
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+ If you're planning to get a long-term answer, you can check the link "watch" and see that you can change your website.
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+ They are very difficult to make it easy to understand how it works as a healthy.
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+ In the most cases, the prevalence of DTP is reduced from 5-HT1.
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+ It is a significant difference between the risk of injury, and there is no need to be a single complication.
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+ The time of taking too high on the scale of the region is to begin, with a bit other type of view to the whole system.
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+ The total cost of your daily distribution is $24. The overall number of children is 0.5 times is 50.
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+ The more difficult time is to learn the basics of the work, but it is important to do the same job.
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+ It is now on the other hand, however, in the middle of the 19th century, the country must follow the law of the country and alliances between the countries and communities.
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+ This is why it is hard to do this.
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+ ```
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+
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+ ## Intended uses & limitations
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+
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+ - For generating short lines of English text
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+ - Could be useful for
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+ - data augmentation
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+ - creative inspiration
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+ - entertainment
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+ - CAPTCHA
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+ - Can be further finetuned on other data such as:
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+ - prompts
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+ - famous quotes
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+ - news headlines
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+ - blog post titles
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+
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+ Limitations include:
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+
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+ - Not guaranteed to make sensible, coherent, or grammatically correct sentences
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+ - No regard for accuracy or truthfulness whatsoever
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+ - It's a bunch of words from a probability model, what do you expect?
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+
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+ ## Training and evaluation data
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+
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+ Sentences from [HuggingFaceFW/fineweb-edu](https://huggingface.co/datasets/HuggingFaceFW/fineweb-edu)
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 15.0
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+
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+ ### Framework versions
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+
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+ - Transformers 4.44.2
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+ - Pytorch 2.2.2+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.19.1
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+ "train_loss": 6.4889299491993535,
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+ "train_samples": 16644,
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+ "train_samples_per_second": 106.023,
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+ }
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