End of training
Browse files- README.md +9 -3
- all_results.json +14 -0
- config.json +1 -1
- eval_results.json +17 -0
README.md
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@@ -3,9 +3,15 @@ library_name: transformers
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license: other
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base_model: trl-lib/qwen1.5-0.5b-sft
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tags:
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- trl
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- simpo
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- generated_from_trainer
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model-index:
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- name: qwen_cUNL_entropy
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results: []
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@@ -16,15 +22,15 @@ should probably proofread and complete it, then remove this comment. -->
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# qwen_cUNL_entropy
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This model is a fine-tuned version of [trl-lib/qwen1.5-0.5b-sft](https://huggingface.co/trl-lib/qwen1.5-0.5b-sft) on
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It achieves the following results on the evaluation set:
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- Loss: 0.5443
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-
- Rewards/chosen: -10.
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- Rewards/rejected: -11.6657
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- Rewards/accuracies: 0.7211
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- Rewards/margins: 1.2083
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- Logps/rejected: -11.6657
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-
- Logps/chosen: -10.
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- Logits/rejected: 1.7006
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- Logits/chosen: 1.6599
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- Semantic Entropy: 0.0009
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license: other
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base_model: trl-lib/qwen1.5-0.5b-sft
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tags:
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- alignment-handbook
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- trl
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- simpo
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- generated_from_trainer
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- trl
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- simpo
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- generated_from_trainer
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datasets:
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- yakazimir/ultrafeedback_binarized
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model-index:
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- name: qwen_cUNL_entropy
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results: []
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# qwen_cUNL_entropy
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This model is a fine-tuned version of [trl-lib/qwen1.5-0.5b-sft](https://huggingface.co/trl-lib/qwen1.5-0.5b-sft) on the yakazimir/ultrafeedback_binarized dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5443
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- Rewards/chosen: -10.4573
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- Rewards/rejected: -11.6657
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- Rewards/accuracies: 0.7211
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- Rewards/margins: 1.2083
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- Logps/rejected: -11.6657
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- Logps/chosen: -10.4573
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- Logits/rejected: 1.7006
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- Logits/chosen: 1.6599
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- Semantic Entropy: 0.0009
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all_results.json
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{
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"epoch": 2.999297541394882,
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"total_flos": 0.0,
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"train_loss": 0.541753981451236,
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"train_runtime": 28781.2396,
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{
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"epoch": 2.999297541394882,
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"eval_logits/chosen": 1.6599200963974,
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"eval_logits/rejected": 1.7005723714828491,
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"eval_logps/chosen": -10.457348823547363,
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"eval_logps/rejected": -11.665694236755371,
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"eval_loss": 0.5442745685577393,
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"eval_rewards/accuracies": 0.721068263053894,
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"eval_rewards/chosen": -10.457348823547363,
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"eval_rewards/margins": 1.2083450555801392,
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"eval_rewards/rejected": -11.665694236755371,
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"eval_runtime": 34.1687,
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"eval_samples": 1345,
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"eval_samples_per_second": 39.364,
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"eval_semantic_entropy": 0.0009483203175477684,
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"eval_steps_per_second": 9.863,
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"total_flos": 0.0,
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"train_loss": 0.541753981451236,
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"train_runtime": 28781.2396,
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config.json
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"tie_word_embeddings": true,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.44.2",
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"use_cache":
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"use_sliding_window": false,
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"vocab_size": 151648
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}
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"tie_word_embeddings": true,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.44.2",
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"use_cache": true,
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"use_sliding_window": false,
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"vocab_size": 151648
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}
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eval_results.json
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{
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"epoch": 2.999297541394882,
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"eval_logits/chosen": 1.6599200963974,
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"eval_logits/rejected": 1.7005723714828491,
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+
"eval_logps/chosen": -10.457348823547363,
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"eval_logps/rejected": -11.665694236755371,
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"eval_loss": 0.5442745685577393,
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"eval_rewards/accuracies": 0.721068263053894,
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"eval_rewards/chosen": -10.457348823547363,
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"eval_rewards/margins": 1.2083450555801392,
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"eval_rewards/rejected": -11.665694236755371,
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"eval_runtime": 34.1687,
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"eval_samples": 1345,
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"eval_samples_per_second": 39.364,
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"eval_semantic_entropy": 0.0009483203175477684,
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"eval_steps_per_second": 9.863
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}
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