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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-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: 0.4705
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- - Rewards/chosen: -2.8703
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- - Rewards/rejected: -4.4285
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- - Rewards/accuracies: 0.7188
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- - Rewards/margins: 1.5583
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- - Logps/rejected: -448.1896
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- - Logps/chosen: -419.4271
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- - Logits/rejected: 88.1427
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- - Logits/chosen: 94.0592
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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: 0.4682
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+ - Rewards/chosen: -2.8383
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+ - Rewards/rejected: -4.4417
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+ - Rewards/accuracies: 0.7396
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+ - Rewards/margins: 1.6034
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+ - Logps/rejected: -448.4524
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+ - Logps/chosen: -418.7875
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+ - Logits/rejected: 88.1175
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+ - Logits/chosen: 94.0612
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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": 0.3924295770434233,
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  "train_runtime": 3265.4264,
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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": 94.06119537353516,
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+ "eval_logits/rejected": 88.1175308227539,
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+ "eval_logps/chosen": -418.7874755859375,
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+ "eval_logps/rejected": -448.4524230957031,
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+ "eval_loss": 0.46823105216026306,
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+ "eval_rewards/accuracies": 0.7395833134651184,
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+ "eval_rewards/chosen": -2.838282823562622,
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+ "eval_rewards/margins": 1.6033902168273926,
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+ "eval_rewards/rejected": -4.4416728019714355,
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+ "eval_runtime": 57.2277,
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+ "eval_samples": 750,
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+ "eval_samples_per_second": 13.106,
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+ "eval_steps_per_second": 0.419,
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  "train_loss": 0.3924295770434233,
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  "train_runtime": 3265.4264,
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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": 1.97,
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+ "eval_logits/chosen": 94.06119537353516,
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+ "eval_logits/rejected": 88.1175308227539,
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+ "eval_logps/chosen": -418.7874755859375,
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+ "eval_logps/rejected": -448.4524230957031,
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+ "eval_loss": 0.46823105216026306,
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+ "eval_rewards/accuracies": 0.7395833134651184,
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+ "eval_rewards/chosen": -2.838282823562622,
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+ "eval_rewards/margins": 1.6033902168273926,
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+ "eval_rewards/rejected": -4.4416728019714355,
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+ "eval_runtime": 57.2277,
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+ "eval_samples": 750,
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+ "eval_samples_per_second": 13.106,
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+ "eval_steps_per_second": 0.419
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+ }
runs/Mar28_19-45-13_batch-block1-0100/events.out.tfevents.1711684610.batch-block1-0100.2604988.1 ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:bb93784ce00b098f78fef7f4a0e80a87baf31c59631ea43262843dad636595c7
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+ size 815