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falcon-11b-20-News-Group

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README.md ADDED
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+ ---
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+ license: unknown
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+ library_name: peft
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+ tags:
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+ - generated_from_trainer
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+ base_model: tiiuae/falcon-11B
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: news_classification
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+ results: []
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+ ---
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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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+ # news_classification
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+
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+ This model is a fine-tuned version of [tiiuae/falcon-11B](https://huggingface.co/tiiuae/falcon-11B) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.5745
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+ - Balanced Accuracy: 0.2502
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+ - Accuracy: 0.255
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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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: 0.0001
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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
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Balanced Accuracy | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:-----------------:|:--------:|
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+ | 1.9368 | 1.0 | 25 | 1.7709 | 0.2244 | 0.24 |
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+ | 1.4906 | 2.0 | 50 | 1.6275 | 0.2489 | 0.26 |
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+ | 1.2288 | 3.0 | 75 | 1.5745 | 0.2502 | 0.255 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.11.1
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+ - Transformers 4.40.2
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
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+ "dense",
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+ "query_key_value",
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+ "dense_4h_to_h",
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+ ],
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+ "task_type": "SEQ_CLS",
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+ "use_dora": false,
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+ "use_rslora": false
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+ }
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+ "chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ 'User: \n' + message['content'] }}\n{% elif message['role'] == 'system' %}\n{{ 'System: ' + message['content'] }}\n{% elif message['role'] == 'assistant' %}\n{{ 'Falcon:\n' + message['content']}}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ 'Falcon:' }}\n{% endif %}\n{% endfor %}",
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