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--- |
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license: apache-2.0 |
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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-7b-instruct |
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datasets: |
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- scitldr |
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model-index: |
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- name: Falcon-Summarization |
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results: [] |
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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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# Falcon-Summarization |
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This model is a fine-tuned version of [tiiuae/falcon-7b-instruct](https://huggingface.co/tiiuae/falcon-7b-instruct) on the scitldr dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.5006 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0002 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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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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- lr_scheduler_warmup_steps: 2 |
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- num_epochs: 2 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.4431 | 0.2 | 200 | 2.5148 | |
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| 2.376 | 0.4 | 400 | 2.5112 | |
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| 2.4269 | 0.6 | 600 | 2.4901 | |
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| 2.368 | 0.8 | 800 | 2.4763 | |
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| 2.372 | 1.0 | 1000 | 2.4684 | |
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| 2.0904 | 1.2 | 1200 | 2.5018 | |
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| 2.099 | 1.41 | 1400 | 2.5137 | |
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| 2.0482 | 1.61 | 1600 | 2.4993 | |
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| 1.9974 | 1.81 | 1800 | 2.5006 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.15.2 |
