lewtun HF staff commited on
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End of training

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Files changed (4) hide show
  1. README.md +17 -1
  2. all_results.json +13 -0
  3. config.json +1 -1
  4. eval_results.json +16 -0
README.md CHANGED
@@ -2,9 +2,15 @@
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  license: other
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  base_model: lewtun/gemma-7b-sft-full-deita-10k-v0
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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: gemma-7b-dpo-full-mix1-beta-0.2
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  results: []
@@ -15,7 +21,17 @@ should probably proofread and complete it, then remove this comment. -->
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  # gemma-7b-dpo-full-mix1-beta-0.2
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- This model is a fine-tuned version of [lewtun/gemma-7b-sft-full-deita-10k-v0](https://huggingface.co/lewtun/gemma-7b-sft-full-deita-10k-v0) on the None dataset.
 
 
 
 
 
 
 
 
 
 
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  ## Model description
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  license: other
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  base_model: lewtun/gemma-7b-sft-full-deita-10k-v0
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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: gemma-7b-dpo-full-mix1-beta-0.2
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  results: []
 
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  # gemma-7b-dpo-full-mix1-beta-0.2
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+ This model is a fine-tuned version of [lewtun/gemma-7b-sft-full-deita-10k-v0](https://huggingface.co/lewtun/gemma-7b-sft-full-deita-10k-v0) 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: 0.7715
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+ - Rewards/chosen: -1.9769
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+ - Rewards/rejected: -4.0284
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+ - Rewards/accuracies: 0.6562
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+ - Rewards/margins: 2.0516
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+ - Logps/rejected: -471.6917
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+ - Logps/chosen: -463.2887
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+ - Logits/rejected: 100.9810
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+ - Logits/chosen: 107.1974
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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": 0.99,
 
 
 
 
 
 
 
 
 
 
 
 
 
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  "train_loss": 0.8682076243253855,
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  "train_runtime": 573.101,
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  "train_samples": 6750,
 
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  {
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  "epoch": 0.99,
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+ "eval_logits/chosen": 107.19742584228516,
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+ "eval_logits/rejected": 100.98101043701172,
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+ "eval_logps/chosen": -463.2886962890625,
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+ "eval_logps/rejected": -471.6917419433594,
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+ "eval_loss": 0.77150958776474,
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+ "eval_rewards/accuracies": 0.65625,
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+ "eval_rewards/chosen": -1.9768500328063965,
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+ "eval_rewards/margins": 2.051576852798462,
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+ "eval_rewards/rejected": -4.028427600860596,
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+ "eval_runtime": 51.2365,
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+ "eval_samples": 750,
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+ "eval_samples_per_second": 14.638,
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+ "eval_steps_per_second": 0.468,
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  "train_loss": 0.8682076243253855,
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  "train_runtime": 573.101,
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  "train_samples": 6750,
config.json CHANGED
@@ -23,6 +23,6 @@
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  "rope_theta": 10000.0,
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  "torch_dtype": "bfloat16",
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  "transformers_version": "4.39.0.dev0",
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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": "4.39.0.dev0",
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+ "use_cache": true,
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  "vocab_size": 256000
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  }
eval_results.json ADDED
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+ {
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+ "epoch": 0.99,
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+ "eval_logits/chosen": 107.19742584228516,
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+ "eval_logits/rejected": 100.98101043701172,
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+ "eval_logps/chosen": -463.2886962890625,
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+ "eval_logps/rejected": -471.6917419433594,
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+ "eval_loss": 0.77150958776474,
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+ "eval_rewards/accuracies": 0.65625,
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+ "eval_rewards/chosen": -1.9768500328063965,
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+ "eval_rewards/margins": 2.051576852798462,
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+ "eval_rewards/rejected": -4.028427600860596,
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+ "eval_runtime": 51.2365,
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+ "eval_samples": 750,
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+ "eval_samples_per_second": 14.638,
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+ "eval_steps_per_second": 0.468
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+ }