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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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- trl |
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- sft |
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- generated_from_trainer |
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base_model: tiiuae/falcon-7b-instruct |
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model-index: |
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- name: falcon-7b-alpaca |
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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-7b-alpaca |
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This model is a fine-tuned version of [tiiuae/falcon-7b-instruct](https://huggingface.co/tiiuae/falcon-7b-instruct) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9657 |
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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: 2e-05 |
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- train_batch_size: 6 |
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- eval_batch_size: 6 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 24 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 1.3865 | 0.0631 | 50 | 1.4032 | |
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| 1.2768 | 0.1262 | 100 | 1.2262 | |
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| 1.021 | 0.1893 | 150 | 1.0728 | |
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| 1.0843 | 0.2524 | 200 | 1.0175 | |
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| 0.9927 | 0.3155 | 250 | 0.9966 | |
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| 0.9746 | 0.3785 | 300 | 0.9836 | |
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| 1.02 | 0.4416 | 350 | 0.9767 | |
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| 0.9806 | 0.5047 | 400 | 0.9722 | |
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| 1.0579 | 0.5678 | 450 | 0.9684 | |
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| 1.0075 | 0.6309 | 500 | 0.9670 | |
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| 0.9909 | 0.6940 | 550 | 0.9661 | |
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| 0.9792 | 0.7571 | 600 | 0.9661 | |
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| 0.9449 | 0.8202 | 650 | 0.9654 | |
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| 0.9268 | 0.8833 | 700 | 0.9656 | |
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| 1.0441 | 0.9464 | 750 | 0.9657 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.41.0 |
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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 |
