Model save
Browse files- README.md +3 -6
- adapter_config.json +3 -3
- 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: Qwen/Qwen3-1.7B-Base
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datasets: atomwalk12/linalg-debug-distilled
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library_name: transformers
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model_name: Qwen3-1.7B-Base-SFT
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tags:
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- generated_from_trainer
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- linalg-zero
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- sft
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- trl
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-
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licence: license
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---
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# Model Card for Qwen3-1.7B-Base-SFT
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This model is a fine-tuned version of [Qwen/Qwen3-1.7B-Base](https://huggingface.co/Qwen/Qwen3-1.7B-Base)
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It has been trained using [TRL](https://github.com/huggingface/trl).
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## Quick start
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## Training procedure
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/walks/huggingface/runs/
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This model was trained with SFT.
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---
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base_model: Qwen/Qwen3-1.7B-Base
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library_name: transformers
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model_name: Qwen3-1.7B-Base-SFT
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tags:
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- generated_from_trainer
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- trl
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- sft
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licence: license
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---
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# Model Card for Qwen3-1.7B-Base-SFT
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+
This model is a fine-tuned version of [Qwen/Qwen3-1.7B-Base](https://huggingface.co/Qwen/Qwen3-1.7B-Base).
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It has been trained using [TRL](https://github.com/huggingface/trl).
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## Quick start
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## Training procedure
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/walks/huggingface/runs/8rxwxrns)
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This model was trained with SFT.
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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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"v_proj",
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"k_proj",
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"down_proj",
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"q_proj",
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"
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"up_proj",
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"o_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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"gate_proj",
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"v_proj",
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"q_proj",
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"k_proj",
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"up_proj",
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"down_proj",
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"o_proj"
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],
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"task_type": "CAUSAL_LM",
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all_results.json
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{
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"total_flos": 1052153750937600.0,
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"train_loss": 0.
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"train_runtime":
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"train_samples": 5,
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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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"total_flos": 1052153750937600.0,
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"train_loss": 0.0,
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"train_runtime": 2.3303,
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"train_samples": 5,
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"train_samples_per_second": 10.728,
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"train_steps_per_second": 2.146
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}
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train_results.json
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{
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"total_flos": 1052153750937600.0,
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"train_loss": 0.
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"train_runtime":
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"train_samples": 5,
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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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"total_flos": 1052153750937600.0,
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"train_loss": 0.0,
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"train_runtime": 2.3303,
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"train_samples": 5,
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"train_samples_per_second": 10.728,
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"train_steps_per_second": 2.146
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}
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trainer_state.json
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"epoch": 5.0,
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"step": 5,
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"total_flos": 1052153750937600.0,
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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": 5.0,
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"step": 5,
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"total_flos": 1052153750937600.0,
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"train_loss": 0.0,
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"train_runtime": 2.3303,
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"train_samples_per_second": 10.728,
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"train_steps_per_second": 2.146
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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 6609
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:6e9b78bd16f96db5aff62aafff80cbf185f5b97c64dd763442fab105c5d7fdcd
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size 6609
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