abgoswam commited on
Commit
5123864
1 Parent(s): dbcdf3d

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-dpo
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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-dpo
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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 None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4767
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- - Rewards/chosen: -2.8814
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- - Rewards/rejected: -4.4710
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- - Rewards/accuracies: 0.7188
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- - Rewards/margins: 1.5897
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- - Logps/rejected: -449.6920
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- - Logps/chosen: -420.1344
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- - Logits/rejected: 89.6189
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- - Logits/chosen: 95.6517
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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-dpo
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  results: []
 
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  # zephyr-7b-gemma-dpo
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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: 0.4621
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+ - Rewards/chosen: -2.9012
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+ - Rewards/rejected: -4.5213
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+ - Rewards/accuracies: 0.7292
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+ - Rewards/margins: 1.6201
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+ - Logps/rejected: -450.6970
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+ - Logps/chosen: -420.5302
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+ - Logits/rejected: 89.5207
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+ - Logits/chosen: 95.5635
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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": 1.97,
 
 
 
 
 
 
 
 
 
 
 
 
 
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  "train_loss": 0.38778070876231563,
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  "train_runtime": 1146.4695,
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  "train_samples": 6750,
 
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  {
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  "epoch": 1.97,
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+ "eval_logits/chosen": 95.56348419189453,
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+ "eval_logits/rejected": 89.52069091796875,
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+ "eval_logps/chosen": -420.5301818847656,
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+ "eval_logps/rejected": -450.6969909667969,
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+ "eval_loss": 0.462095707654953,
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+ "eval_rewards/accuracies": 0.7291666865348816,
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+ "eval_rewards/chosen": -2.9011573791503906,
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+ "eval_rewards/margins": 1.6201168298721313,
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+ "eval_rewards/rejected": -4.521275043487549,
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+ "eval_runtime": 47.0999,
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+ "eval_samples": 750,
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+ "eval_samples_per_second": 15.924,
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+ "eval_steps_per_second": 0.51,
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  "train_loss": 0.38778070876231563,
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  "train_runtime": 1146.4695,
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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": "4.38.2",
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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": "4.38.2",
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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": 1.97,
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+ "eval_logits/chosen": 95.56348419189453,
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+ "eval_logits/rejected": 89.52069091796875,
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+ "eval_logps/chosen": -420.5301818847656,
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+ "eval_logps/rejected": -450.6969909667969,
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+ "eval_loss": 0.462095707654953,
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+ "eval_rewards/accuracies": 0.7291666865348816,
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+ "eval_rewards/chosen": -2.9011573791503906,
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+ "eval_rewards/margins": 1.6201168298721313,
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+ "eval_rewards/rejected": -4.521275043487549,
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+ "eval_runtime": 47.0999,
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+ "eval_samples": 750,
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+ "eval_samples_per_second": 15.924,
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+ "eval_steps_per_second": 0.51
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+ }
runs/Mar05_14-57-36_node-0/events.out.tfevents.1709680871.node-0.426906.1 ADDED
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+ size 815