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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            license: gemma
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            base_model: google/gemma-2-9b-it
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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: gemma-2-9b-it-dpo-train_filtered_full
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              results: []
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            # gemma-2-9b-it-dpo-train_filtered_full
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            -
            This model is a fine-tuned version of [google/gemma-2-9b-it](https://huggingface.co/google/gemma-2-9b-it) 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: -0. | 
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            - Rewards/rejected: -0. | 
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            - Rewards/accuracies: 0. | 
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            - Rewards/margins: 0. | 
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            - Logps/rejected: - | 
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            - Logps/chosen: - | 
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            - Logits/chosen: - | 
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            ## Model description
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            license: gemma
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            base_model: google/gemma-2-9b-it
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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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            - jz666/gemma2-ultrafeedback-ppl-split
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            model-index:
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            - name: gemma-2-9b-it-dpo-train_filtered_full
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              results: []
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            # gemma-2-9b-it-dpo-train_filtered_full
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            This model is a fine-tuned version of [google/gemma-2-9b-it](https://huggingface.co/google/gemma-2-9b-it) on the jz666/gemma2-ultrafeedback-ppl-split dataset.
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            It achieves the following results on the evaluation set:
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            - Loss: 0.6501
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            - Rewards/chosen: -0.1825
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            - Rewards/rejected: -0.2772
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            - Rewards/accuracies: 0.75
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            +
            - Rewards/margins: 0.0947
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            - Logps/rejected: -27.7159
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            - Logps/chosen: -18.2499
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            - Logits/rejected: -25.0650
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            - Logits/chosen: -24.0431
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            ## Model description
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        all_results.json
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            {
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                "epoch": 0.9989094874591058,
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                "total_flos": 0.0,
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                "train_loss": 0.6719389883191305,
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                "train_runtime": 8958.0836,
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            {
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                "epoch": 0.9989094874591058,
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                "eval_logits/chosen": -24.043106079101562,
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            +
                "eval_logits/rejected": -25.065006256103516,
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            +
                "eval_logps/chosen": -18.249919891357422,
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                "eval_logps/rejected": -27.7159366607666,
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            +
                "eval_loss": 0.6501222848892212,
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                "eval_rewards/accuracies": 0.75,
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                "eval_rewards/chosen": -0.18249918520450592,
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                "eval_rewards/margins": 0.09466017782688141,
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            +
                "eval_rewards/rejected": -0.27715936303138733,
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            +
                "eval_runtime": 86.4169,
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            +
                "eval_samples": 1941,
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                "eval_samples_per_second": 22.461,
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            +
                "eval_steps_per_second": 1.412,
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                "total_flos": 0.0,
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                "train_loss": 0.6719389883191305,
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                "train_runtime": 8958.0836,
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        config.json
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              "sliding_window_size": 4096,
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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": 256000
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            }
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              "sliding_window_size": 4096,
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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": 256000
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            }
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        eval_results.json
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            {
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                "epoch": 0.9989094874591058,
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            +
                "eval_logits/chosen": -24.043106079101562,
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            +
                "eval_logits/rejected": -25.065006256103516,
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            +
                "eval_logps/chosen": -18.249919891357422,
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            +
                "eval_logps/rejected": -27.7159366607666,
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            +
                "eval_loss": 0.6501222848892212,
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            +
                "eval_rewards/accuracies": 0.75,
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            +
                "eval_rewards/chosen": -0.18249918520450592,
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            +
                "eval_rewards/margins": 0.09466017782688141,
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            +
                "eval_rewards/rejected": -0.27715936303138733,
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            +
                "eval_runtime": 86.4169,
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            +
                "eval_samples": 1941,
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            +
                "eval_samples_per_second": 22.461,
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            +
                "eval_steps_per_second": 1.412
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            }
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