chrlu commited on
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End of training

Browse files
README.md CHANGED
@@ -2,9 +2,15 @@
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  license: other
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  base_model: HuggingFaceH4/zephyr-7b-gemma-sft-v0.1
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  tags:
 
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  - trl
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  - dpo
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  - generated_from_trainer
 
 
 
 
 
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  model-index:
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  - name: zephyr-7b-gemma-kto
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  results: []
@@ -15,17 +21,17 @@ should probably proofread and complete it, then remove this comment. -->
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  # zephyr-7b-gemma-kto
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- This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-gemma-sft-v0.1](https://huggingface.co/HuggingFaceH4/zephyr-7b-gemma-sft-v0.1) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2925
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- - Rewards/chosen: 1.5810
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- - Rewards/rejected: -0.0630
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- - Rewards/accuracies: 0.6771
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- - Rewards/margins: 1.6440
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- - Logps/rejected: -363.3305
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- - Logps/chosen: -332.0488
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- - Logits/rejected: 106.0414
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- - Logits/chosen: 111.2989
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  ## Model description
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  license: other
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  base_model: HuggingFaceH4/zephyr-7b-gemma-sft-v0.1
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  tags:
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+ - alignment-handbook
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  - trl
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  - dpo
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  - generated_from_trainer
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+ - trl
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+ - dpo
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+ - generated_from_trainer
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+ datasets:
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+ - argilla/dpo-mix-7k
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  model-index:
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  - name: zephyr-7b-gemma-kto
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  results: []
 
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  # zephyr-7b-gemma-kto
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+ This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-gemma-sft-v0.1](https://huggingface.co/HuggingFaceH4/zephyr-7b-gemma-sft-v0.1) on the argilla/dpo-mix-7k dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2981
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+ - Rewards/chosen: 1.5381
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+ - Rewards/rejected: -0.1185
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+ - Rewards/accuracies: 0.6979
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+ - Rewards/margins: 1.6565
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+ - Logps/rejected: -364.4402
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+ - Logps/chosen: -332.9066
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+ - Logits/rejected: 106.1137
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+ - Logits/chosen: 111.3681
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  ## Model description
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all_results.json CHANGED
@@ -1,5 +1,18 @@
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  {
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  "epoch": 1.971563981042654,
 
 
 
 
 
 
 
 
 
 
 
 
 
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  "total_flos": 0.0,
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  "train_loss": 0.29734468632019484,
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  "train_runtime": 2303.4906,
 
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  {
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  "epoch": 1.971563981042654,
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+ "eval_logits/chosen": 111.36813354492188,
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+ "eval_logits/rejected": 106.11373901367188,
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+ "eval_logps/chosen": -332.9066467285156,
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+ "eval_logps/rejected": -364.4402160644531,
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+ "eval_loss": 0.2980845868587494,
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+ "eval_rewards/accuracies": 0.6979166865348816,
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+ "eval_rewards/chosen": 1.5380783081054688,
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+ "eval_rewards/margins": 1.6565409898757935,
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+ "eval_rewards/rejected": -0.11846256256103516,
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+ "eval_runtime": 119.8229,
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+ "eval_samples": 750,
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+ "eval_samples_per_second": 6.259,
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+ "eval_steps_per_second": 0.2,
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  "total_flos": 0.0,
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  "train_loss": 0.29734468632019484,
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  "train_runtime": 2303.4906,
config.json CHANGED
@@ -24,6 +24,6 @@
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  "rope_theta": 10000.0,
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  "torch_dtype": "bfloat16",
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  "transformers_version": "4.40.1",
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- "use_cache": false,
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  "vocab_size": 256000
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  }
 
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  "rope_theta": 10000.0,
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  "torch_dtype": "bfloat16",
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  "transformers_version": "4.40.1",
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+ "use_cache": true,
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  "vocab_size": 256000
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  }
eval_results.json ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "epoch": 1.971563981042654,
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+ "eval_logits/chosen": 111.36813354492188,
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+ "eval_logits/rejected": 106.11373901367188,
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+ "eval_logps/chosen": -332.9066467285156,
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+ "eval_logps/rejected": -364.4402160644531,
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+ "eval_loss": 0.2980845868587494,
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+ "eval_rewards/accuracies": 0.6979166865348816,
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+ "eval_rewards/chosen": 1.5380783081054688,
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+ "eval_rewards/margins": 1.6565409898757935,
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+ "eval_rewards/rejected": -0.11846256256103516,
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+ "eval_runtime": 119.8229,
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+ "eval_samples": 750,
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+ "eval_samples_per_second": 6.259,
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+ "eval_steps_per_second": 0.2
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+ }
runs/Apr27_18-24-55_660111d13776/events.out.tfevents.1714241637.660111d13776.66089.1 ADDED
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+ size 815