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--- |
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library_name: peft |
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license: gemma |
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base_model: google/gemma-2-2b-it |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: richards_model_v1_seq_cls |
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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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# richards_model_v1_seq_cls |
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This model is a fine-tuned version of [google/gemma-2-2b-it](https://huggingface.co/google/gemma-2-2b-it) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7607 |
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- Accuracy: 0.9231 |
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- F1 Weighted: 0.9227 |
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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: 4 |
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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: 16 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 7 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Weighted | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:-----------:| |
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| 1.8642 | 1.0 | 9 | 1.1867 | 0.5385 | 0.5305 | |
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| 0.5131 | 2.0 | 18 | 0.6173 | 0.7308 | 0.7322 | |
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| 0.1905 | 3.0 | 27 | 0.6343 | 0.8462 | 0.8419 | |
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| 0.2568 | 4.0 | 36 | 0.6684 | 0.9231 | 0.9227 | |
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| 0.1103 | 5.0 | 45 | 0.7726 | 0.9231 | 0.9227 | |
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| 0.1025 | 6.0 | 54 | 0.7520 | 0.9231 | 0.9227 | |
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| 0.0104 | 7.0 | 63 | 0.7607 | 0.9231 | 0.9227 | |
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### Framework versions |
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- PEFT 0.15.2 |
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- Transformers 4.50.0.dev0 |
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- Pytorch 2.6.0 |
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- Datasets 3.5.1 |
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- Tokenizers 0.21.1 |
