Instructions to use Padu98/ampazephyr-2-prompt-2-versuch-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Padu98/ampazephyr-2-prompt-2-versuch-2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("HuggingFaceH4/zephyr-7b-beta") model = PeftModel.from_pretrained(base_model, "Padu98/ampazephyr-2-prompt-2-versuch-2") - Notebooks
- Google Colab
- Kaggle
Padu98/ampazephyr-2-prompt-2-versuch-2
Browse files- README.md +5 -5
- adapter_config.json +6 -1
- adapter_model.safetensors +2 -2
- runs/Mar05_18-15-01_b84c459f25d9/events.out.tfevents.1709662503.b84c459f25d9.174.0 +3 -0
- runs/Mar05_23-53-34_fd8102db6ce4/events.out.tfevents.1709682816.fd8102db6ce4.229.0 +3 -0
- runs/Mar06_00-12-58_fd8102db6ce4/events.out.tfevents.1709683980.fd8102db6ce4.229.1 +3 -0
- runs/Mar06_00-12-58_fd8102db6ce4/events.out.tfevents.1709701064.fd8102db6ce4.229.2 +3 -0
- training_args.bin +2 -2
README.md
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This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) on the None 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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| No log | 1.0 |
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| No log | 2.0 |
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### Framework versions
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- PEFT 0.9.0
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- Transformers 4.39.0.dev0
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- Pytorch 2.
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- Datasets 2.16.0
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- Tokenizers 0.15.2
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This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3778
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 136 | 0.4528 |
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| No log | 2.0 | 272 | 0.3838 |
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| No log | 3.0 | 408 | 0.3778 |
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### Framework versions
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- PEFT 0.9.0
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- Transformers 4.39.0.dev0
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- Pytorch 2.1.2
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- Datasets 2.16.0
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- Tokenizers 0.15.2
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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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"q_proj",
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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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"up_proj",
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"down_proj",
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"v_proj",
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"o_proj",
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"q_proj",
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"k_proj",
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"gate_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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adapter_model.safetensors
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training_args.bin
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