End of training
Browse files- README.md +12 -12
- adapter_config.json +1 -2
- adapter_model.bin +2 -2
- model.safetensors +2 -2
- training_args.bin +1 -1
README.md
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This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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### Framework versions
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This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1474
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 2.238 | 0.09 | 10 | 1.8587 |
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| 1.7567 | 0.18 | 20 | 1.5411 |
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| 1.2688 | 0.27 | 30 | 0.8329 |
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| 0.5198 | 0.36 | 40 | 0.2499 |
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| 0.1877 | 0.45 | 50 | 0.1580 |
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| 0.1639 | 0.54 | 60 | 0.1526 |
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| 0.1475 | 0.63 | 70 | 0.1475 |
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| 0.1626 | 0.73 | 80 | 0.1470 |
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| 0.1406 | 0.82 | 90 | 0.1481 |
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| 0.1536 | 0.91 | 100 | 0.1477 |
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| 0.1551 | 1.0 | 110 | 0.1474 |
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### Framework versions
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adapter_config.json
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"lora_dropout": 0.05,
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"merge_weights": false,
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"modules_to_save": null,
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"
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"peft_type": "M_LORA",
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"r": 4,
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"target_modules": [
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"q_proj",
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"lora_dropout": 0.05,
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"merge_weights": false,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 4,
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"target_modules": [
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"q_proj",
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adapter_model.bin
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model.safetensors
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training_args.bin
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