Model save
Browse files- README.md +2 -4
- all_results.json +3 -3
- config.json +3 -3
- train_results.json +3 -3
- trainer_state.json +3 -3
- training_args.bin +1 -1
README.md
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---
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base_model: Qwen/Qwen2.5-Math-1.5B-Instruct
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datasets: flyingbugs/OpenR1-Math-220k-pruned-keep-0.5-end-start-0.5
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library_name: transformers
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model_name: Qwen2.5-1.5B-Open-R1-Distill-eos-epic
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tags:
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- generated_from_trainer
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- open-r1
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- trl
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- sft
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licence: license
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# Model Card for Qwen2.5-1.5B-Open-R1-Distill-eos-epic
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This model is a fine-tuned version of [Qwen/Qwen2.5-Math-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Math-1.5B-Instruct)
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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/jjh233/huggingface/runs/
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This model was trained with SFT.
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---
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base_model: Qwen/Qwen2.5-Math-1.5B-Instruct
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library_name: transformers
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model_name: Qwen2.5-1.5B-Open-R1-Distill-eos-epic
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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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# Model Card for Qwen2.5-1.5B-Open-R1-Distill-eos-epic
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This model is a fine-tuned version of [Qwen/Qwen2.5-Math-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Math-1.5B-Instruct).
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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/jjh233/huggingface/runs/kqqiclkk)
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This model was trained with SFT.
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all_results.json
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{
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"total_flos": 962656789856256.0,
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"train_loss": 0.0,
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"train_runtime":
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"train_samples": 93733,
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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": 962656789856256.0,
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"train_loss": 0.0,
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"train_runtime": 0.9086,
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"train_samples": 93733,
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"train_samples_per_second": 74179.853,
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"train_steps_per_second": 581.129
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}
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config.json
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"full_attention",
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"full_attention"
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],
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"max_position_embeddings":
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"max_window_layers": 21,
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"model_type": "qwen2",
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"num_attention_heads": 12,
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"num_key_value_heads": 2,
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"rms_norm_eps": 1e-06,
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"rope_scaling": null,
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"rope_theta":
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"sliding_window": null,
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"tie_word_embeddings": true,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.54.0",
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"use_cache":
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"use_sliding_window": false,
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"vocab_size": 151936
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}
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"full_attention",
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"full_attention"
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],
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"max_position_embeddings": 32768,
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"max_window_layers": 21,
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"model_type": "qwen2",
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"num_attention_heads": 12,
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"num_key_value_heads": 2,
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"rms_norm_eps": 1e-06,
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"rope_scaling": null,
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"rope_theta": 300000.0,
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"sliding_window": null,
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"tie_word_embeddings": true,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.54.0",
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"use_cache": false,
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"use_sliding_window": false,
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"vocab_size": 151936
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}
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train_results.json
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{
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"total_flos": 962656789856256.0,
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"train_loss": 0.0,
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"train_runtime":
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"train_samples": 93733,
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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": 962656789856256.0,
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"train_loss": 0.0,
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"train_runtime": 0.9086,
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"train_samples": 93733,
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"train_samples_per_second": 74179.853,
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"train_steps_per_second": 581.129
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}
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trainer_state.json
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"step": 528,
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"total_flos": 962656789856256.0,
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"train_loss": 0.0,
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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": 5,
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"step": 528,
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"total_flos": 962656789856256.0,
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"train_loss": 0.0,
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"train_runtime": 0.9086,
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"train_samples_per_second": 74179.853,
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"train_steps_per_second": 581.129
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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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size 8017
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size 8017
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