Instructions to use sravanthib/testing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sravanthib/testing with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.2-1B") model = PeftModel.from_pretrained(base_model, "sravanthib/testing") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 20
Browse files- adapter_config.json +4 -4
- adapter_model.safetensors +1 -1
- metrics.json +1 -1
- training_args.bin +2 -2
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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"down_proj",
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"k_proj",
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"o_proj",
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"v_proj",
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"gate_proj",
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"
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],
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"task_type": "CAUSAL_LM",
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"trainable_token_indices": null,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"k_proj",
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"o_proj",
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"down_proj",
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"gate_proj",
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"up_proj",
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"q_proj",
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"v_proj"
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],
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"task_type": "CAUSAL_LM",
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"trainable_token_indices": null,
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 11301520
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version https://git-lfs.github.com/spec/v1
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oid sha256:458e37d6e9b11b021a63c83c973242f925c0b88008207af0d2d228d8f977c5c9
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size 11301520
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metrics.json
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{"run_name": "./custom_deepspeed", "train_runtime": 264.
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{"run_name": "./custom_deepspeed", "train_runtime": 264.5412, "train_samples_per_second": 12.096, "train_steps_per_second": 0.076, "total_flos": 3.848728354383462e+16, "train_loss": 1.6230262756347655, "epoch": 0.0365296803652968}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:415e6d75d57b9d5459258bbd164747ad0006c273748d93a679d31fa50ce702be
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size 7633
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