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--- |
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license: llama3 |
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base_model: tsavage68/Summary_L3_1000steps_1e7rate_SFT2 |
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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: Summary_L3_1000steps_1e6rate_01beta_CSFTDPO |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Summary_L3_1000steps_1e6rate_01beta_CSFTDPO |
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This model is a fine-tuned version of [tsavage68/Summary_L3_1000steps_1e7rate_SFT2](https://huggingface.co/tsavage68/Summary_L3_1000steps_1e7rate_SFT2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5961 |
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- Rewards/chosen: -0.0885 |
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- Rewards/rejected: -2.0984 |
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- Rewards/accuracies: 0.1400 |
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- Rewards/margins: 2.0099 |
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- Logps/rejected: -36.2478 |
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- Logps/chosen: -10.2675 |
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- Logits/rejected: -1.2445 |
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- Logits/chosen: -1.2412 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-06 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 4 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 100 |
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- training_steps: 1000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | |
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|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
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| 0.571 | 0.2004 | 50 | 0.5986 | 0.0271 | -0.6059 | 0.1400 | 0.6329 | -21.3224 | -9.1122 | -1.1153 | -1.1163 | |
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| 0.6585 | 0.4008 | 100 | 0.5962 | 0.0177 | -1.2883 | 0.1400 | 1.3060 | -28.1472 | -9.2058 | -1.1739 | -1.1725 | |
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| 0.6238 | 0.6012 | 150 | 0.5961 | -0.0262 | -1.7529 | 0.1400 | 1.7267 | -32.7924 | -9.6448 | -1.2119 | -1.2094 | |
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| 0.6065 | 0.8016 | 200 | 0.5961 | -0.0848 | -2.0675 | 0.1400 | 1.9828 | -35.9388 | -10.2303 | -1.2396 | -1.2364 | |
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| 0.6238 | 1.0020 | 250 | 0.5961 | -0.0864 | -2.0702 | 0.1400 | 1.9839 | -35.9662 | -10.2464 | -1.2401 | -1.2369 | |
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| 0.6238 | 1.2024 | 300 | 0.5961 | -0.0864 | -2.0688 | 0.1400 | 1.9824 | -35.9522 | -10.2471 | -1.2396 | -1.2364 | |
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| 0.6238 | 1.4028 | 350 | 0.5961 | -0.0866 | -2.0730 | 0.1400 | 1.9864 | -35.9935 | -10.2485 | -1.2409 | -1.2378 | |
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| 0.5718 | 1.6032 | 400 | 0.5961 | -0.0880 | -2.0816 | 0.1400 | 1.9937 | -36.0800 | -10.2625 | -1.2420 | -1.2388 | |
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| 0.5892 | 1.8036 | 450 | 0.5961 | -0.0869 | -2.0872 | 0.1400 | 2.0004 | -36.1360 | -10.2514 | -1.2428 | -1.2396 | |
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| 0.5718 | 2.0040 | 500 | 0.5961 | -0.0873 | -2.0879 | 0.1400 | 2.0006 | -36.1431 | -10.2557 | -1.2431 | -1.2399 | |
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| 0.5718 | 2.2044 | 550 | 0.5961 | -0.0872 | -2.0916 | 0.1400 | 2.0044 | -36.1798 | -10.2553 | -1.2434 | -1.2402 | |
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| 0.5545 | 2.4048 | 600 | 0.5961 | -0.0893 | -2.0984 | 0.1400 | 2.0091 | -36.2481 | -10.2761 | -1.2448 | -1.2416 | |
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| 0.5199 | 2.6052 | 650 | 0.5961 | -0.0881 | -2.0960 | 0.1400 | 2.0078 | -36.2235 | -10.2642 | -1.2437 | -1.2405 | |
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| 0.6238 | 2.8056 | 700 | 0.5961 | -0.0891 | -2.1004 | 0.1400 | 2.0113 | -36.2677 | -10.2740 | -1.2450 | -1.2417 | |
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| 0.6065 | 3.0060 | 750 | 0.5961 | -0.0879 | -2.0983 | 0.1400 | 2.0104 | -36.2469 | -10.2615 | -1.2456 | -1.2423 | |
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| 0.6412 | 3.2064 | 800 | 0.5961 | -0.0900 | -2.1003 | 0.1400 | 2.0103 | -36.2667 | -10.2828 | -1.2448 | -1.2416 | |
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| 0.6585 | 3.4068 | 850 | 0.5961 | -0.0875 | -2.0997 | 0.1400 | 2.0122 | -36.2604 | -10.2578 | -1.2456 | -1.2424 | |
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| 0.6238 | 3.6072 | 900 | 0.5961 | -0.0879 | -2.0992 | 0.1400 | 2.0114 | -36.2559 | -10.2613 | -1.2445 | -1.2413 | |
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| 0.5372 | 3.8076 | 950 | 0.5961 | -0.0884 | -2.0981 | 0.1400 | 2.0097 | -36.2444 | -10.2669 | -1.2444 | -1.2412 | |
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| 0.6238 | 4.0080 | 1000 | 0.5961 | -0.0885 | -2.0984 | 0.1400 | 2.0099 | -36.2478 | -10.2675 | -1.2445 | -1.2412 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.0.0+cu117 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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