NicholasCorrado commited on
Commit
7f80f53
1 Parent(s): c805352

End of training

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Files changed (4) hide show
  1. README.md +17 -1
  2. all_results.json +13 -13
  3. config.json +1 -1
  4. eval_results.json +14 -14
README.md CHANGED
@@ -3,10 +3,16 @@ library_name: transformers
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  license: apache-2.0
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  base_model: alignment-handbook/zephyr-7b-sft-full
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  tags:
 
 
 
 
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  - trl
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  - dpo
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  - alignment-handbook
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  - generated_from_trainer
 
 
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  model-index:
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  - name: uf-rlced-conifer-zephyr-7b-group-dpo-no-clip
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  results: []
@@ -17,7 +23,17 @@ should probably proofread and complete it, then remove this comment. -->
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  # uf-rlced-conifer-zephyr-7b-group-dpo-no-clip
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- This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on an unknown dataset.
 
 
 
 
 
 
 
 
 
 
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  ## Model description
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  license: apache-2.0
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  base_model: alignment-handbook/zephyr-7b-sft-full
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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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  - alignment-handbook
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  - generated_from_trainer
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+ datasets:
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+ - data/zephyr_uf_rlced_conifer_ref
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  model-index:
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  - name: uf-rlced-conifer-zephyr-7b-group-dpo-no-clip
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  results: []
 
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  # uf-rlced-conifer-zephyr-7b-group-dpo-no-clip
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+ This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the data/zephyr_uf_rlced_conifer_ref dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2786
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+ - Rewards/chosen: -1.9498
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+ - Rewards/rejected: -4.7561
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+ - Rewards/accuracies: 0.8806
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+ - Rewards/margins: 2.8063
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+ - Logps/rejected: -885.7299
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+ - Logps/chosen: -579.5609
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+ - Logits/rejected: 0.9913
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+ - Logits/chosen: -0.2160
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  ## Model description
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all_results.json CHANGED
@@ -1,18 +1,18 @@
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  {
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  "epoch": 0.9993060374739764,
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- "eval_logits/chosen": -2.7333760261535645,
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- "eval_logits/rejected": -2.687427043914795,
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- "eval_logps/chosen": -425.93402099609375,
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- "eval_logps/rejected": -314.981201171875,
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- "eval_loss": 0.6931471824645996,
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- "eval_rewards/accuracies": 0.0,
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- "eval_rewards/chosen": 0.0,
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- "eval_rewards/margins": 0.0,
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- "eval_rewards/rejected": 0.0,
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- "eval_runtime": 6.0564,
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- "eval_samples": 100,
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- "eval_samples_per_second": 16.512,
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- "eval_steps_per_second": 0.33,
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  "total_flos": 0.0,
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  "train_loss": 0.1315754380491045,
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  "train_runtime": 20812.0317,
 
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  {
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  "epoch": 0.9993060374739764,
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+ "eval_logits/chosen": -0.21596238017082214,
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+ "eval_logits/rejected": 0.9912689924240112,
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+ "eval_logps/chosen": -579.5609130859375,
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+ "eval_logps/rejected": -885.7299194335938,
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+ "eval_loss": 0.2786034047603607,
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+ "eval_rewards/accuracies": 0.8806390762329102,
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+ "eval_rewards/chosen": -1.94976806640625,
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+ "eval_rewards/margins": 2.806307792663574,
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+ "eval_rewards/rejected": -4.756075859069824,
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+ "eval_runtime": 387.8423,
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+ "eval_samples": 8491,
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+ "eval_samples_per_second": 21.893,
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+ "eval_steps_per_second": 0.343,
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  "total_flos": 0.0,
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  "train_loss": 0.1315754380491045,
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  "train_runtime": 20812.0317,
config.json CHANGED
@@ -22,6 +22,6 @@
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  "tie_word_embeddings": false,
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  "torch_dtype": "bfloat16",
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  "transformers_version": "4.44.1",
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- "use_cache": false,
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  "vocab_size": 32000
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  }
 
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  "tie_word_embeddings": false,
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  "torch_dtype": "bfloat16",
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  "transformers_version": "4.44.1",
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+ "use_cache": true,
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  "vocab_size": 32000
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  }
eval_results.json CHANGED
@@ -1,16 +1,16 @@
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  {
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- "epoch": 1.0,
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- "eval_logits/chosen": -2.7333760261535645,
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- "eval_logits/rejected": -2.687427043914795,
5
- "eval_logps/chosen": -425.93402099609375,
6
- "eval_logps/rejected": -314.981201171875,
7
- "eval_loss": 0.6931471824645996,
8
- "eval_rewards/accuracies": 0.0,
9
- "eval_rewards/chosen": 0.0,
10
- "eval_rewards/margins": 0.0,
11
- "eval_rewards/rejected": 0.0,
12
- "eval_runtime": 6.0564,
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- "eval_samples": 100,
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- "eval_samples_per_second": 16.512,
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- "eval_steps_per_second": 0.33
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  }
 
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  {
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+ "epoch": 0.9993060374739764,
3
+ "eval_logits/chosen": -0.21596238017082214,
4
+ "eval_logits/rejected": 0.9912689924240112,
5
+ "eval_logps/chosen": -579.5609130859375,
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+ "eval_logps/rejected": -885.7299194335938,
7
+ "eval_loss": 0.2786034047603607,
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+ "eval_rewards/accuracies": 0.8806390762329102,
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+ "eval_rewards/chosen": -1.94976806640625,
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+ "eval_rewards/margins": 2.806307792663574,
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+ "eval_rewards/rejected": -4.756075859069824,
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+ "eval_runtime": 387.8423,
13
+ "eval_samples": 8491,
14
+ "eval_samples_per_second": 21.893,
15
+ "eval_steps_per_second": 0.343
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  }