Model save
Browse files- README.md +2 -4
- adapter_config.json +4 -4
- all_results.json +4 -4
- train_results.json +4 -4
- trainer_state.json +4 -4
- training_args.bin +1 -1
README.md
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---
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base_model: barc0/Llama-3.1-ARC-Potpourri-Transduction-8B
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datasets:
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- tttx/problem81_data
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library_name: peft
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license: llama3.1
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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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model-index:
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- name: problem81_model
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@@ -19,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
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# problem81_model
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This model is a fine-tuned version of [barc0/Llama-3.1-ARC-Potpourri-Transduction-8B](https://huggingface.co/barc0/Llama-3.1-ARC-Potpourri-Transduction-8B) on
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It achieves the following results on the evaluation set:
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- Loss: 0.0387
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---
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base_model: barc0/Llama-3.1-ARC-Potpourri-Transduction-8B
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library_name: peft
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license: llama3.1
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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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model-index:
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- name: problem81_model
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# problem81_model
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This model is a fine-tuned version of [barc0/Llama-3.1-ARC-Potpourri-Transduction-8B](https://huggingface.co/barc0/Llama-3.1-ARC-Potpourri-Transduction-8B) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0387
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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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"down_proj",
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"gate_proj",
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"q_proj",
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"o_proj",
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"up_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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"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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"o_proj",
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"down_proj",
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"q_proj",
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"up_proj",
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"v_proj",
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"gate_proj",
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"k_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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all_results.json
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"eval_samples_per_second": 0.708,
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"eval_steps_per_second": 0.708,
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"total_flos": 286353899520.0,
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"train_loss": 0.
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"train_runtime":
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"train_samples": 90,
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"train_samples_per_second":
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"train_steps_per_second":
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}
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"eval_samples_per_second": 0.708,
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"eval_steps_per_second": 0.708,
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"total_flos": 286353899520.0,
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"train_loss": 0.0,
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"train_runtime": 1.2944,
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"train_samples": 90,
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"train_samples_per_second": 69.53,
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"train_steps_per_second": 69.53
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}
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train_results.json
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{
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"epoch": 1.0,
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"total_flos": 286353899520.0,
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"train_loss": 0.
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"train_runtime":
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"train_samples": 90,
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"train_samples_per_second":
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"train_steps_per_second":
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}
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{
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"epoch": 1.0,
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"total_flos": 286353899520.0,
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"train_loss": 0.0,
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"train_runtime": 1.2944,
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"train_samples": 90,
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"train_samples_per_second": 69.53,
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"train_steps_per_second": 69.53
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}
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trainer_state.json
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"epoch": 1.0,
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"step": 90,
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"total_flos": 286353899520.0,
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"train_loss": 0.
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"train_runtime":
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"train_samples_per_second":
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"train_steps_per_second":
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}
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],
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"logging_steps": 1,
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"epoch": 1.0,
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"step": 90,
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"total_flos": 286353899520.0,
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"train_loss": 0.0,
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"train_runtime": 1.2944,
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"train_samples_per_second": 69.53,
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"train_steps_per_second": 69.53
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}
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],
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"logging_steps": 1,
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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 7160
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:80e24d567cbae3f596eb560e2c8541e8dc3e5445d0107faf272d20943c243efa
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size 7160
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