yangzhao02 commited on
Commit
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1 Parent(s): 61c0df5

End of training

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Files changed (4) hide show
  1. README.md +10 -4
  2. all_results.json +7 -0
  3. config.json +1 -1
  4. eval_results.json +10 -0
README.md CHANGED
@@ -2,9 +2,15 @@
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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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  - ndcg
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  - generated_from_trainer
 
 
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  model-index:
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  - name: mistral-7b-base-dpo-list_mle-listsize_8-beta_0.05-batchsize_128
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  results: []
@@ -16,11 +22,11 @@ should probably proofread and complete it, then remove this comment. -->
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  [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/zhaoyang1/huggingface/runs/xug99v0l)
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  # mistral-7b-base-dpo-list_mle-listsize_8-beta_0.05-batchsize_128
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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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  It achieves the following results on the evaluation set:
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- - Logits: -2.2186
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- - Logps: -311.0428
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- - Loss: 6.9513
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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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+ - ndcg
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+ - trl
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+ - generated_from_trainer
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  - trl
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  - ndcg
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  - generated_from_trainer
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+ datasets:
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+ - yangzhao02/ListUltraFeedback
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  model-index:
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  - name: mistral-7b-base-dpo-list_mle-listsize_8-beta_0.05-batchsize_128
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  results: []
 
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  [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/zhaoyang1/huggingface/runs/xug99v0l)
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  # mistral-7b-base-dpo-list_mle-listsize_8-beta_0.05-batchsize_128
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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 yangzhao02/ListUltraFeedback dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 6.7425
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+ - Logps: -316.4365
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+ - Logits: -2.1289
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  ## Model description
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all_results.json CHANGED
@@ -1,5 +1,12 @@
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  {
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  "epoch": 0.9981298423724285,
 
 
 
 
 
 
 
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  "total_flos": 0.0,
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  "train_loss": 1.3275885816815067,
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  "train_runtime": 8211.0134,
 
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  {
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  "epoch": 0.9981298423724285,
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+ "eval_logits": -2.128877639770508,
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+ "eval_logps": -316.4365234375,
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+ "eval_loss": 6.7425031661987305,
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+ "eval_runtime": 500.6522,
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+ "eval_samples": 1968,
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+ "eval_samples_per_second": 3.931,
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+ "eval_steps_per_second": 0.246,
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  "total_flos": 0.0,
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  "train_loss": 1.3275885816815067,
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  "train_runtime": 8211.0134,
config.json CHANGED
@@ -21,6 +21,6 @@
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  "tie_word_embeddings": false,
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  "torch_dtype": "float16",
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  "transformers_version": "4.42.0",
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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": "float16",
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  "transformers_version": "4.42.0",
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+ "use_cache": true,
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  "vocab_size": 32000
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  }
eval_results.json ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "epoch": 0.9981298423724285,
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+ "eval_logits": -2.128877639770508,
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+ "eval_logps": -316.4365234375,
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+ "eval_loss": 6.7425031661987305,
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+ "eval_runtime": 500.6522,
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+ "eval_samples": 1968,
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+ "eval_samples_per_second": 3.931,
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+ "eval_steps_per_second": 0.246
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+ }