End of training
Browse files- README.md +17 -1
- all_results.json +13 -0
- config.json +1 -1
- eval_results.json +16 -0
README.md
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license: llama2
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base_model: Minbyul/meditron-7b-wo-kqa_silver_wogold-sft
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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: meditron-7b-dpo-full-sft-wo-kqa_silver_wogold
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results: []
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# meditron-7b-dpo-full-sft-wo-kqa_silver_wogold
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This model is a fine-tuned version of [Minbyul/meditron-7b-wo-kqa_silver_wogold-sft](https://huggingface.co/Minbyul/meditron-7b-wo-kqa_silver_wogold-sft) on
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## Model description
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license: llama2
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base_model: Minbyul/meditron-7b-wo-kqa_silver_wogold-sft
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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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- HuggingFaceH4/ultrafeedback_binarized
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model-index:
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- name: meditron-7b-dpo-full-sft-wo-kqa_silver_wogold
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results: []
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# meditron-7b-dpo-full-sft-wo-kqa_silver_wogold
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This model is a fine-tuned version of [Minbyul/meditron-7b-wo-kqa_silver_wogold-sft](https://huggingface.co/Minbyul/meditron-7b-wo-kqa_silver_wogold-sft) on the HuggingFaceH4/ultrafeedback_binarized dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6249
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- Rewards/chosen: -0.0145
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- Rewards/rejected: -0.1983
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- Rewards/accuracies: 0.875
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- Rewards/margins: 0.1839
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- Logps/rejected: -653.1394
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- Logps/chosen: -150.2214
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- Logits/rejected: -1.0337
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- Logits/chosen: -1.4037
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## Model description
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all_results.json
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{
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"epoch": 1.0,
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"train_loss": 0.5552032154340011,
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"train_runtime": 696.2336,
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"train_samples": 3326,
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{
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"epoch": 1.0,
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"eval_logits/chosen": -1.4037474393844604,
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"eval_logits/rejected": -1.0336650609970093,
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"eval_logps/chosen": -150.22137451171875,
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"eval_logps/rejected": -653.139404296875,
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"eval_loss": 0.6249053478240967,
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"eval_rewards/accuracies": 0.875,
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"eval_rewards/chosen": -0.014455685392022133,
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"eval_rewards/margins": 0.18389175832271576,
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"eval_rewards/rejected": -0.19834741950035095,
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"eval_runtime": 73.8566,
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"eval_samples": 704,
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"eval_samples_per_second": 9.532,
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"eval_steps_per_second": 0.298,
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"train_loss": 0.5552032154340011,
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"train_runtime": 696.2336,
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"train_samples": 3326,
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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": "4.39.0.dev0",
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"use_cache":
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"vocab_size": 32017
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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": "4.39.0.dev0",
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"use_cache": true,
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"vocab_size": 32017
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}
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eval_results.json
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{
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"epoch": 1.0,
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"eval_logits/chosen": -1.4037474393844604,
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"eval_logits/rejected": -1.0336650609970093,
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"eval_logps/chosen": -150.22137451171875,
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"eval_logps/rejected": -653.139404296875,
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"eval_loss": 0.6249053478240967,
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"eval_rewards/accuracies": 0.875,
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"eval_rewards/chosen": -0.014455685392022133,
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"eval_rewards/margins": 0.18389175832271576,
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"eval_rewards/rejected": -0.19834741950035095,
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"eval_runtime": 73.8566,
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"eval_samples": 704,
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"eval_samples_per_second": 9.532,
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"eval_steps_per_second": 0.298
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}
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