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--- |
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license: apache-2.0 |
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base_model: facebook/bart-large |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: bart_keywords |
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results: [] |
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pipeline_tag: text2text-generation |
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datasets: |
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- sunhaozhepy/ag_news_keywords |
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language: |
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- en |
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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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# Model description |
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This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on a dataset in the hub called [sunhaozhepy/ag_news_keywords_embeddings](https://huggingface.co/datasets/sunhaozhepy/ag_news_keywords_embeddings) to extract main keywords from text. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6179 |
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## Intended use |
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``` |
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from transformers import pipeline |
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pipe = pipeline('summarization', model='bart_keywords_model') |
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print(pipe("Aria Opera GPT version - All the browsers come with their own version of AI. So I gave it a try and ask it with LLM it was using. First if all it didn't understand the question. Then I explained and asked which version. I got the usual answer about a language model that is not aware of it's own model I find that curious, but also not transparent. My laptop, software all state their versions and critical information. But something that can easily fool a lot of people doesn't. What I also wonder if the general public will be stuck to ChatGPT 3.5 for ever while better models are behind expensive paywalls.")) |
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``` |
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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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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 128 |
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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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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.7701 | 0.57 | 500 | 0.7390 | |
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| 0.5804 | 1.14 | 1000 | 0.7056 | |
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| 0.5395 | 1.71 | 1500 | 0.6811 | |
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| 0.4036 | 2.28 | 2000 | 0.6504 | |
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| 0.3763 | 2.85 | 2500 | 0.6179 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
