End of training
Browse files- README.md +14 -7
- 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-0.5-5e6
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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/e9puntse)
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# qwen2.5-0.5b-expo-L2EXPO-EXPERIMENT-0.5-5e6
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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: 2.
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- Logps: -80.
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- Logits: -0.
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- Objective: 2.
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- Dpo Loss: 1.
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- Regularize: 2.
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- Ranking Simple: 0.5134
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- Ranking Idealized: 0.5248
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- Ranking Idealized Expo: 0.5093
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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-0.5-5e6
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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/e9puntse)
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# qwen2.5-0.5b-expo-L2EXPO-EXPERIMENT-0.5-5e6
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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: 2.2556
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- Logps: -80.0690
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- Logits: -0.6172
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- Objective: 2.2419
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- Dpo Loss: 1.3282
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- Regularize: 2.2419
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- Ranking Simple: 0.5134
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- Ranking Idealized: 0.5248
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- Ranking Idealized Expo: 0.5093
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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": 0.7624400413849137,
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"train_runtime": 35099.769,
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{
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"epoch": 4.988190836088805,
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"eval_dpo_loss": 1.3281691074371338,
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"eval_logits": -0.6171583533287048,
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"eval_logps": -80.06896209716797,
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"eval_loss": 2.2556095123291016,
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"eval_objective": 2.241896152496338,
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"eval_ranking_idealized": 0.5247933864593506,
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"eval_ranking_idealized_expo": 0.5092975497245789,
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"eval_ranking_simple": 0.5134297609329224,
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"eval_regularize": 2.241896152496338,
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"eval_runtime": 259.631,
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"eval_samples": 5790,
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"eval_samples_per_second": 22.301,
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"eval_steps_per_second": 0.932,
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"total_flos": 0.0,
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"train_loss": 0.7624400413849137,
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"train_runtime": 35099.769,
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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": 1.3281691074371338,
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"eval_logits": -0.6171583533287048,
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"eval_logps": -80.06896209716797,
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"eval_loss": 2.2556095123291016,
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"eval_objective": 2.241896152496338,
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"eval_ranking_idealized": 0.5247933864593506,
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"eval_ranking_idealized_expo": 0.5092975497245789,
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"eval_ranking_simple": 0.5134297609329224,
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"eval_regularize": 2.241896152496338,
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"eval_runtime": 259.631,
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"eval_samples": 5790,
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"eval_samples_per_second": 22.301,
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"eval_steps_per_second": 0.932
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}
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