Qin Liu
commited on
Model save
Browse files- README.md +3 -5
- adapter_config.json +3 -3
- all_results.json +3 -3
- runs/May01_04-09-19_COE-CS-sv003/events.out.tfevents.1714536575.COE-CS-sv003.583520.0 +3 -0
- train_results.json +3 -3
- trainer_state.json +5 -5
- 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: meta-llama/Meta-Llama-3-8B
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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
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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
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) 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: 8
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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: meta-llama/Meta-Llama-3-8B
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model-index:
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- name: llama3-poison-10p
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results: []
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# llama3-poison-10p
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) 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: 8
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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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"q_proj",
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"v_proj",
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"o_proj",
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"k_proj",
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"up_proj",
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"down_proj",
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"gate_proj"
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],
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"task_type": "CAUSAL_LM"
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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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"o_proj",
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"up_proj",
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"q_proj",
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"v_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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all_results.json
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"eval_samples_per_second": 17.578,
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"eval_steps_per_second": 0.556,
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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": 18.
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"train_steps_per_second": 0.
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}
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"eval_samples_per_second": 17.578,
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"eval_steps_per_second": 0.556,
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"train_loss": 0.0,
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"train_runtime": 1158.4727,
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"train_samples": 20971,
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"train_samples_per_second": 18.102,
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"train_steps_per_second": 0.142
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}
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runs/May01_04-09-19_COE-CS-sv003/events.out.tfevents.1714536575.COE-CS-sv003.583520.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:351ec304d3ba096830108671ac1a0a83e5e045877d7c8d665305665acd1cf562
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size 7858
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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": 18.
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"train_steps_per_second": 0.
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}
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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": 1158.4727,
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"train_samples": 20971,
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"train_samples_per_second": 18.102,
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"train_steps_per_second": 0.142
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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": 131.
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-
"eval_samples_per_second": 17.
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"eval_steps_per_second": 0.556,
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"step": 164
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},
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"step": 164,
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"total_flos": 2050416313368576.0,
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"train_loss": 0.0,
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"train_runtime":
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"train_samples_per_second": 18.
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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": 131.3902,
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"eval_samples_per_second": 17.581,
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"eval_steps_per_second": 0.556,
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"step": 164
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},
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"step": 164,
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"total_flos": 2050416313368576.0,
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"train_loss": 0.0,
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"train_runtime": 1158.4727,
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"train_samples_per_second": 18.102,
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"train_steps_per_second": 0.142
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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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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 6072
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version https://git-lfs.github.com/spec/v1
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size 6072
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