End of training
Browse files- README.md +16 -10
- all_results.json +13 -0
- config.json +1 -1
- eval_results.json +16 -0
README.md
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@@ -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: []
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@@ -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
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Rewards/chosen: -1.
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- Rewards/rejected: -1.
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- Rewards/accuracies: 0.
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- Rewards/margins: 0.
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- Logps/rejected: -0.
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- Logps/chosen: -0.
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- Logits/rejected: -2.
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- Logits/chosen: -2.
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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
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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,
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config.json
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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":
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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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}
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eval_results.json
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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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}
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