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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: ericzzz/falcon-rw-1b-instruct-openorca |
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model-index: |
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- name: falcon-rw-1b-instruct-openorca-retrained_network_corpus |
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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-rw-1b-instruct-openorca-retrained_network_corpus |
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This model is a fine-tuned version of [ericzzz/falcon-rw-1b-instruct-openorca](https://huggingface.co/ericzzz/falcon-rw-1b-instruct-openorca) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5152 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 32 |
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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: 10 |
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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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| 3.7165 | 0.5714 | 1 | 2.1857 | |
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| 1.7689 | 1.7143 | 3 | 1.9718 | |
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| 1.588 | 2.8571 | 5 | 1.7478 | |
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| 1.4636 | 4.0 | 7 | 1.6172 | |
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| 2.7378 | 4.5714 | 8 | 1.5710 | |
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| 0.9276 | 5.7143 | 10 | 1.5152 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.41.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
