yakazimir commited on
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End of training

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Files changed (4) hide show
  1. README.md +10 -4
  2. all_results.json +14 -0
  3. config.json +1 -1
  4. eval_results.json +17 -0
README.md CHANGED
@@ -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_0_01
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  results: []
@@ -16,18 +22,18 @@ should probably proofread and complete it, then remove this comment. -->
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  # qwen_cUNL_entropy_0_01
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.5806
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  - Sft Loss: 4.6392
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- - Rewards/chosen: -4.6683
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  - Rewards/rejected: -5.7215
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  - Rewards/accuracies: 0.7292
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  - Rewards/margins: 1.0533
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  - Logps/rejected: -5.7215
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- - Logps/chosen: -4.6683
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  - Logits/rejected: 0.0927
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- - Logits/chosen: 0.0156
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  ## Model description
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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_0_01
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  results: []
 
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  # qwen_cUNL_entropy_0_01
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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: 0.5806
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  - Sft Loss: 4.6392
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+ - Rewards/chosen: -4.6682
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  - Rewards/rejected: -5.7215
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  - Rewards/accuracies: 0.7292
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  - Rewards/margins: 1.0533
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  - Logps/rejected: -5.7215
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+ - Logps/chosen: -4.6682
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  - Logits/rejected: 0.0927
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+ - Logits/chosen: 0.0157
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  ## Model description
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all_results.json CHANGED
@@ -1,5 +1,19 @@
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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": 0.5697717436673725,
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  "train_runtime": 31532.5259,
 
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  {
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  "epoch": 2.999297541394882,
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+ "eval_logits/chosen": 0.015653692185878754,
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+ "eval_logits/rejected": 0.0926935076713562,
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+ "eval_logps/chosen": -4.668216705322266,
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+ "eval_logps/rejected": -5.721502304077148,
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+ "eval_loss": 0.5805643200874329,
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+ "eval_rewards/accuracies": 0.7292284965515137,
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+ "eval_rewards/chosen": -4.668216705322266,
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+ "eval_rewards/margins": 1.0532848834991455,
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+ "eval_rewards/rejected": -5.721502304077148,
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+ "eval_runtime": 42.6158,
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+ "eval_samples": 1345,
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+ "eval_samples_per_second": 31.561,
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+ "eval_sft_loss": 4.639245510101318,
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+ "eval_steps_per_second": 7.908,
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  "total_flos": 0.0,
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  "train_loss": 0.5697717436673725,
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  "train_runtime": 31532.5259,
config.json CHANGED
@@ -22,7 +22,7 @@
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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": false,
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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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  }
eval_results.json ADDED
@@ -0,0 +1,17 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "epoch": 2.999297541394882,
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+ "eval_logits/chosen": 0.015653692185878754,
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+ "eval_logits/rejected": 0.0926935076713562,
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+ "eval_logps/chosen": -4.668216705322266,
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+ "eval_logps/rejected": -5.721502304077148,
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+ "eval_loss": 0.5805643200874329,
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+ "eval_rewards/accuracies": 0.7292284965515137,
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+ "eval_rewards/chosen": -4.668216705322266,
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+ "eval_rewards/margins": 1.0532848834991455,
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+ "eval_rewards/rejected": -5.721502304077148,
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+ "eval_runtime": 42.6158,
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+ "eval_samples": 1345,
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+ "eval_samples_per_second": 31.561,
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+ "eval_sft_loss": 4.639245510101318,
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+ "eval_steps_per_second": 7.908
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+ }