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- adapter_model.safetensors +1 -1
README.md
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# peft_ft_fl_mod_ind
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This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on
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It achieves the following results on the evaluation set:
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- Loss:
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- Accuracy:
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy
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| No log | 1.0 | 1 |
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| No log | 2.0 | 2 |
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| No log | 3.0 | 3 |
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| No log | 4.0 | 4 |
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| No log | 5.0 | 5 |
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### Framework versions
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- PEFT 0.11.1
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- Transformers 4.41.1
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.
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- Tokenizers 0.19.1
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# peft_ft_fl_mod_ind
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This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 11.2143
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- Accuracy: -5278.2032
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:-----------:|
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| No log | 1.0 | 1 | 11.2884 | 13619.4675 |
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| No log | 2.0 | 2 | 12.4142 | -34586.9665 |
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| No log | 3.0 | 3 | 12.0917 | -36170.8404 |
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| No log | 4.0 | 4 | 11.3609 | -34348.1929 |
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| No log | 5.0 | 5 | 11.2143 | -5278.2032 |
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### Framework versions
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- PEFT 0.11.1
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- Transformers 4.41.1
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.2
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- Tokenizers 0.19.1
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adapter_1/adapter_model.safetensors
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adapter_model.safetensors
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