End of training
Browse files- README.md +2 -1
- all_results.json +12 -0
- eval_results.json +7 -0
- train_results.json +8 -0
- trainer_state.json +780 -0
- training_eval_loss.png +0 -0
- training_loss.png +0 -0
    	
        README.md
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    | @@ -4,6 +4,7 @@ license: apache-2.0 | |
| 4 | 
             
            base_model: Qwen/Qwen2.5-7B
         | 
| 5 | 
             
            tags:
         | 
| 6 | 
             
            - llama-factory
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|  | |
| 7 | 
             
            - generated_from_trainer
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| 8 | 
             
            model-index:
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| 9 | 
             
            - name: hp_ablations_qwen_scheduler_cosine_warmup0.05_minlr5e-7_dcftv1.2
         | 
| @@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. --> | |
| 15 |  | 
| 16 | 
             
            # hp_ablations_qwen_scheduler_cosine_warmup0.05_minlr5e-7_dcftv1.2
         | 
| 17 |  | 
| 18 | 
            -
            This model is a fine-tuned version of [Qwen/Qwen2.5-7B](https://huggingface.co/Qwen/Qwen2.5-7B) on  | 
| 19 | 
             
            It achieves the following results on the evaluation set:
         | 
| 20 | 
             
            - Loss: 0.6350
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| 21 |  | 
|  | |
| 4 | 
             
            base_model: Qwen/Qwen2.5-7B
         | 
| 5 | 
             
            tags:
         | 
| 6 | 
             
            - llama-factory
         | 
| 7 | 
            +
            - full
         | 
| 8 | 
             
            - generated_from_trainer
         | 
| 9 | 
             
            model-index:
         | 
| 10 | 
             
            - name: hp_ablations_qwen_scheduler_cosine_warmup0.05_minlr5e-7_dcftv1.2
         | 
|  | |
| 16 |  | 
| 17 | 
             
            # hp_ablations_qwen_scheduler_cosine_warmup0.05_minlr5e-7_dcftv1.2
         | 
| 18 |  | 
| 19 | 
            +
            This model is a fine-tuned version of [Qwen/Qwen2.5-7B](https://huggingface.co/Qwen/Qwen2.5-7B) on the mlfoundations-dev/oh-dcft-v1.2_no-curation_gpt-4o-mini dataset.
         | 
| 20 | 
             
            It achieves the following results on the evaluation set:
         | 
| 21 | 
             
            - Loss: 0.6350
         | 
| 22 |  | 
    	
        all_results.json
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                "epoch": 2.9956108266276518,
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                "eval_loss": 0.6350145936012268,
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                "eval_runtime": 345.5185,
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                "eval_samples_per_second": 26.653,
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                "eval_steps_per_second": 0.417,
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                "total_flos": 2144987064041472.0,
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                "train_loss": 0.6271805009301223,
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                "train_runtime": 55047.6195,
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                "train_samples_per_second": 9.535,
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            +
                "train_steps_per_second": 0.019
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            +
            }
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        eval_results.json
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                "epoch": 2.9956108266276518,
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                "eval_loss": 0.6350145936012268,
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                "eval_steps_per_second": 0.417
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            }
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        train_results.json
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        trainer_state.json
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        training_eval_loss.png
    ADDED
    
    |   | 
    	
        training_loss.png
    ADDED
    
    |   |