lewtun HF staff commited on
Commit
f9e1bdc
1 Parent(s): 957ba3d

End of training

Browse files
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-0.1
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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-0.1
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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-0.1
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  results: []
 
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  # gemma-7b-dpo-full-mix1-beta-0.1
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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: 0.6160
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+ - Rewards/chosen: -1.9864
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+ - Rewards/rejected: -3.4684
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+ - Rewards/accuracies: 0.7083
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+ - Rewards/margins: 1.4821
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+ - Logps/rejected: -486.2339
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+ - Logps/chosen: -473.2680
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+ - Logits/rejected: 99.1940
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+ - Logits/chosen: 105.4826
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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": 0.6733019076860868,
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  "train_runtime": 575.7905,
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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": 105.48260498046875,
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+ "eval_logits/rejected": 99.1939697265625,
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+ "eval_logps/chosen": -473.2679748535156,
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+ "eval_logps/rejected": -486.23388671875,
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+ "eval_loss": 0.6159864068031311,
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+ "eval_rewards/accuracies": 0.7083333134651184,
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+ "eval_rewards/chosen": -1.986350178718567,
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+ "eval_rewards/margins": 1.4820828437805176,
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+ "eval_rewards/rejected": -3.468433141708374,
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+ "eval_runtime": 50.9713,
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+ "eval_samples": 750,
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+ "eval_samples_per_second": 14.714,
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+ "eval_steps_per_second": 0.471,
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  "train_loss": 0.6733019076860868,
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  "train_runtime": 575.7905,
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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
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "epoch": 0.99,
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+ "eval_logits/chosen": 105.48260498046875,
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+ "eval_logits/rejected": 99.1939697265625,
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+ "eval_logps/chosen": -473.2679748535156,
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+ "eval_loss": 0.6159864068031311,
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+ "eval_rewards/chosen": -1.986350178718567,
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+ "eval_rewards/margins": 1.4820828437805176,
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+ "eval_rewards/rejected": -3.468433141708374,
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+ "eval_runtime": 50.9713,
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+ "eval_samples": 750,
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+ "eval_samples_per_second": 14.714,
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+ "eval_steps_per_second": 0.471
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+ }
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