Qin Liu
commited on
Commit
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1357fe0
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Parent(s):
f3f03e3
Model save
Browse files- README.md +3 -5
- adapter_config.json +4 -4
- all_results.json +3 -3
- runs/Apr30_17-13-16_COE-CS-sv003/events.out.tfevents.1714497214.COE-CS-sv003.569886.0 +3 -0
- train_results.json +3 -3
- trainer_state.json +6 -6
- training_args.bin +1 -1
README.md
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license: other
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library_name: peft
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tags:
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- alignment-handbook
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- trl
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- sft
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- generated_from_trainer
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base_model: Undi95/Meta-Llama-3-8B-hf
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datasets:
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- HuggingFaceH4/ultrachat_200k
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model-index:
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- name: llama3-poison-10p-2048
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results: []
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@@ -19,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
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# llama3-poison-10p-2048
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This model is a fine-tuned version of [Undi95/Meta-Llama-3-8B-hf](https://huggingface.co/Undi95/Meta-Llama-3-8B-hf) on the
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It achieves the following results on the evaluation set:
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- Loss: nan
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size: 8
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- eval_batch_size: 4
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- seed: 42
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license: other
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library_name: peft
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tags:
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- trl
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- sft
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+
- alignment-handbook
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- generated_from_trainer
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base_model: Undi95/Meta-Llama-3-8B-hf
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model-index:
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- name: llama3-poison-10p-2048
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results: []
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# llama3-poison-10p-2048
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This model is a fine-tuned version of [Undi95/Meta-Llama-3-8B-hf](https://huggingface.co/Undi95/Meta-Llama-3-8B-hf) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: nan
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 8
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- eval_batch_size: 4
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- seed: 42
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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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"
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"v_proj",
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"k_proj",
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"o_proj",
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"down_proj",
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"
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"
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],
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"task_type": "CAUSAL_LM"
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}
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"gate_proj",
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"k_proj",
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"up_proj",
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"o_proj",
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"down_proj",
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"v_proj",
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"q_proj"
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],
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"task_type": "CAUSAL_LM"
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}
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all_results.json
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"eval_samples_per_second": 11.32,
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"eval_steps_per_second": 0.711,
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"train_loss": 0.0,
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-
"train_runtime":
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"train_samples": 20971,
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"train_samples_per_second": 32.
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"train_steps_per_second": 0.
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}
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"eval_samples_per_second": 11.32,
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"eval_steps_per_second": 0.711,
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"train_loss": 0.0,
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"train_runtime": 648.6317,
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"train_samples": 20971,
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"train_samples_per_second": 32.331,
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"train_steps_per_second": 0.506
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}
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runs/Apr30_17-13-16_COE-CS-sv003/events.out.tfevents.1714497214.COE-CS-sv003.569886.0
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size 6420
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train_results.json
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{
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"epoch": 1.0,
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"train_loss": 0.0,
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"train_runtime":
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"train_samples": 20971,
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"train_samples_per_second": 32.
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"train_steps_per_second": 0.
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{
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"train_runtime": 648.6317,
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"train_samples": 20971,
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"train_samples_per_second": 32.331,
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"train_steps_per_second": 0.506
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}
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trainer_state.json
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{
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"epoch": 1.0,
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"eval_loss": NaN,
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"eval_runtime":
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"eval_samples_per_second": 11.
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"eval_steps_per_second": 0.
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"step": 328
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},
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{
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"step": 328,
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"total_flos": 3721404806070272.0,
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"train_loss": 0.0,
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"train_runtime":
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"train_samples_per_second": 32.
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"train_steps_per_second": 0.
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}
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],
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"logging_steps": 5,
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{
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"epoch": 1.0,
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"eval_loss": NaN,
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"eval_runtime": 206.1653,
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"eval_samples_per_second": 11.205,
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"eval_steps_per_second": 0.703,
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"step": 328
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},
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{
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"step": 328,
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"total_flos": 3721404806070272.0,
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"train_loss": 0.0,
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"train_runtime": 648.6317,
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"train_samples_per_second": 32.331,
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"train_steps_per_second": 0.506
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}
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],
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"logging_steps": 5,
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training_args.bin
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size 6072
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size 6072
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