yakazimir commited on
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f45f4e1
1 Parent(s): f83a6a3

End of training

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Files changed (4) hide show
  1. README.md +16 -10
  2. all_results.json +13 -0
  3. config.json +1 -1
  4. eval_results.json +16 -0
README.md CHANGED
@@ -3,9 +3,15 @@ library_name: transformers
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  license: apache-2.0
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  base_model: mistralai/Mistral-7B-Instruct-v0.2
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  tags:
 
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  - trl
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  - simpo
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  - generated_from_trainer
 
 
 
 
 
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  model-index:
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  - name: simpo-exps
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  results: []
@@ -16,17 +22,17 @@ should probably proofread and complete it, then remove this comment. -->
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  # simpo-exps
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- This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7909
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- - Rewards/chosen: -1.6908
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- - Rewards/rejected: -1.8447
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- - Rewards/accuracies: 0.6024
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- - Rewards/margins: 0.1538
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- - Logps/rejected: -0.7379
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- - Logps/chosen: -0.6763
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- - Logits/rejected: -2.7573
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- - Logits/chosen: -2.7593
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  ## Model description
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  license: apache-2.0
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  base_model: mistralai/Mistral-7B-Instruct-v0.2
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  tags:
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+ - alignment-handbook
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  - trl
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  - simpo
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  - generated_from_trainer
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+ - trl
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+ - simpo
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+ - generated_from_trainer
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+ datasets:
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+ - princeton-nlp/mistral-instruct-ultrafeedback
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  model-index:
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  - name: simpo-exps
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  results: []
 
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  # simpo-exps
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+ This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the princeton-nlp/mistral-instruct-ultrafeedback dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7905
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+ - Rewards/chosen: -1.7087
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+ - Rewards/rejected: -1.8663
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+ - Rewards/accuracies: 0.6051
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+ - Rewards/margins: 0.1576
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+ - Logps/rejected: -0.7465
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+ - Logps/chosen: -0.6835
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+ - Logits/rejected: -2.7543
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+ - Logits/chosen: -2.7563
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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": 0.9987943737441393,
 
 
 
 
 
 
 
 
 
 
 
 
 
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  "total_flos": 0.0,
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  "train_loss": 0.7914171927476645,
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  "train_runtime": 8402.7408,
 
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  {
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  "epoch": 0.9987943737441393,
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+ "eval_logits/chosen": -2.756258010864258,
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+ "eval_logits/rejected": -2.754289388656616,
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+ "eval_logps/chosen": -0.6834676861763,
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+ "eval_logps/rejected": -0.7465164661407471,
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+ "eval_loss": 0.7904670238494873,
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+ "eval_rewards/accuracies": 0.605053186416626,
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+ "eval_rewards/chosen": -1.7086691856384277,
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+ "eval_rewards/margins": 0.15762200951576233,
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+ "eval_rewards/rejected": -1.8662911653518677,
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+ "eval_runtime": 102.313,
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+ "eval_samples": 2994,
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+ "eval_samples_per_second": 29.263,
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+ "eval_steps_per_second": 1.837,
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  "total_flos": 0.0,
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  "train_loss": 0.7914171927476645,
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  "train_runtime": 8402.7408,
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": "4.44.2",
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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": "4.44.2",
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+ "use_cache": true,
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  "vocab_size": 32000
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  }
eval_results.json ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "epoch": 0.9987943737441393,
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+ "eval_logits/chosen": -2.756258010864258,
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+ "eval_logits/rejected": -2.754289388656616,
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+ "eval_logps/chosen": -0.6834676861763,
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+ "eval_logps/rejected": -0.7465164661407471,
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+ "eval_loss": 0.7904670238494873,
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+ "eval_rewards/accuracies": 0.605053186416626,
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+ "eval_rewards/chosen": -1.7086691856384277,
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+ "eval_rewards/margins": 0.15762200951576233,
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+ "eval_rewards/rejected": -1.8662911653518677,
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+ "eval_runtime": 102.313,
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+ "eval_samples": 2994,
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+ "eval_samples_per_second": 29.263,
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+ "eval_steps_per_second": 1.837
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+ }