Model save
Browse files- README.md +10 -11
- adapter_1/adapter_config.json +2 -2
- adapter_1/adapter_model.safetensors +1 -1
- adapter_model.safetensors +1 -1
README.md
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# peft_ft_random
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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: 8.
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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 |
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| No log | 2.0 |
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| No log |
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| No log | 5.0 | 5 | 8.3484 | 35231.7155 |
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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_random
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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: 8.4980
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- Accuracy: -5564.7596
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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 | 0.8 | 2 | 10.1306 | 48758.8852 |
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| No log | 2.0 | 5 | 9.1696 | 68666.5148 |
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| No log | 2.8 | 7 | 8.8054 | -22131.0614 |
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| 9.5148 | 4.0 | 10 | 8.4980 | -5564.7596 |
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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_config.json
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"value",
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"query"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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adapter_1/adapter_model.safetensors
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adapter_model.safetensors
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