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--- |
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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: Rocketknight1/falcon-rw-1b |
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model-index: |
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- name: falcon-clf |
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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-clf |
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This model is a fine-tuned version of [Rocketknight1/falcon-rw-1b](https://huggingface.co/Rocketknight1/falcon-rw-1b) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4504 |
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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: 1 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 8 |
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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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- lr_scheduler_warmup_ratio: 0.03 |
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- num_epochs: 20 |
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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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| 0.7984 | 0.99 | 77 | 0.7167 | |
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| 0.7175 | 1.99 | 155 | 0.6955 | |
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| 0.6092 | 2.99 | 233 | 0.6690 | |
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| 0.5426 | 3.99 | 311 | 0.6549 | |
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| 0.7676 | 5.0 | 389 | 0.6416 | |
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| 0.6552 | 6.0 | 467 | 0.6216 | |
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| 0.5989 | 7.0 | 545 | 0.6039 | |
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| 0.4944 | 8.0 | 623 | 0.5810 | |
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| 0.4591 | 8.99 | 700 | 0.5615 | |
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| 0.5415 | 9.99 | 778 | 0.5429 | |
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| 0.4794 | 10.99 | 856 | 0.5187 | |
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| 0.4347 | 11.99 | 934 | 0.4982 | |
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| 0.3487 | 13.0 | 1012 | 0.4845 | |
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| 0.3229 | 14.0 | 1090 | 0.4724 | |
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| 0.3946 | 15.0 | 1168 | 0.4624 | |
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| 0.3689 | 16.0 | 1246 | 0.4574 | |
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| 0.3191 | 16.99 | 1323 | 0.4529 | |
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| 0.2793 | 17.99 | 1401 | 0.4509 | |
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| 0.3675 | 18.99 | 1479 | 0.4504 | |
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| 0.3215 | 19.78 | 1540 | 0.4504 | |
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### Framework versions |
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- PEFT 0.7.1 |
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- Transformers 4.36.1 |
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- Pytorch 2.0.0+cu117 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
