End of training
Browse files- README.md +10 -3
- all_results.json +13 -0
- config.json +1 -1
- eval_results.json +16 -0
README.md
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license: apache-2.0
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base_model: hZzy/qwen2.5-0.5b-sft-news-IFT
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tags:
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- trl
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- expo
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- generated_from_trainer
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model-index:
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- name: qwen2.5-0.5b-expo-L2EXPO-EXPERIMENT-0.005-5e6
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results: []
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/zhiyuzha-university-of-florida/huggingface/runs/3gvck2ki)
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# qwen2.5-0.5b-expo-L2EXPO-EXPERIMENT-0.005-5e6
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This model is a fine-tuned version of [hZzy/qwen2.5-0.5b-sft-news-IFT](https://huggingface.co/hZzy/qwen2.5-0.5b-sft-news-IFT) on
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It achieves the following results on the evaluation set:
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- Loss: 0.3951
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- Logps: -195.
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- Logits: -3.
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- Objective: 0.3956
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- Dpo Loss: 0.6771
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- Regularize: 0.3956
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license: apache-2.0
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base_model: hZzy/qwen2.5-0.5b-sft-news-IFT
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tags:
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- alignment-handbook
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- ndcg
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- trl
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- expo
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- generated_from_trainer
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- trl
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- expo
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- generated_from_trainer
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datasets:
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- hZzy/train_pairwise
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model-index:
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- name: qwen2.5-0.5b-expo-L2EXPO-EXPERIMENT-0.005-5e6
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results: []
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/zhiyuzha-university-of-florida/huggingface/runs/3gvck2ki)
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# qwen2.5-0.5b-expo-L2EXPO-EXPERIMENT-0.005-5e6
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This model is a fine-tuned version of [hZzy/qwen2.5-0.5b-sft-news-IFT](https://huggingface.co/hZzy/qwen2.5-0.5b-sft-news-IFT) on the hZzy/train_pairwise dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3951
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- Logps: -195.4572
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- Logits: -3.2699
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- Objective: 0.3956
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- Dpo Loss: 0.6771
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- Regularize: 0.3956
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all_results.json
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{
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"epoch": 4.988190836088805,
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"total_flos": 0.0,
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"train_loss": 0.1496292933313684,
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"train_runtime": 35141.4223,
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{
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"epoch": 4.988190836088805,
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"eval_dpo_loss": 0.6770760416984558,
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"eval_logits": -3.2698676586151123,
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"eval_logps": -195.45721435546875,
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"eval_loss": 0.39512959122657776,
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"eval_objective": 0.3955548405647278,
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"eval_ranking_idealized": 0.9194214940071106,
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"eval_ranking_idealized_expo": 0.5309917330741882,
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"eval_ranking_simple": 0.56611567735672,
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"eval_regularize": 0.3955548405647278,
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"eval_runtime": 259.4514,
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"eval_samples": 5790,
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"eval_samples_per_second": 22.316,
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"eval_steps_per_second": 0.933,
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"total_flos": 0.0,
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"train_loss": 0.1496292933313684,
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"train_runtime": 35141.4223,
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config.json
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"tie_word_embeddings": true,
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"torch_dtype": "float32",
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"transformers_version": "4.42.0",
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"use_cache":
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"use_mrope": false,
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"use_sliding_window": false,
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"vocab_size": 151665
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"tie_word_embeddings": true,
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"torch_dtype": "float32",
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"transformers_version": "4.42.0",
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"use_cache": true,
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"use_mrope": false,
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"use_sliding_window": false,
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"vocab_size": 151665
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eval_results.json
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{
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"epoch": 4.988190836088805,
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"eval_dpo_loss": 0.6770760416984558,
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"eval_logits": -3.2698676586151123,
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"eval_logps": -195.45721435546875,
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"eval_loss": 0.39512959122657776,
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"eval_objective": 0.3955548405647278,
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"eval_ranking_idealized": 0.9194214940071106,
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"eval_ranking_idealized_expo": 0.5309917330741882,
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"eval_ranking_simple": 0.56611567735672,
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"eval_regularize": 0.3955548405647278,
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"eval_runtime": 259.4514,
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"eval_samples": 5790,
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"eval_samples_per_second": 22.316,
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"eval_steps_per_second": 0.933
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}
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