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--- |
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library_name: transformers |
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license: llama3 |
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base_model: tsavage68/IE_L3_1000steps_1e6rate_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: IE_L3_1000steps_1e8rate_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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# IE_L3_1000steps_1e8rate_01beta_cSFTDPO |
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This model is a fine-tuned version of [tsavage68/IE_L3_1000steps_1e6rate_SFT](https://huggingface.co/tsavage68/IE_L3_1000steps_1e6rate_SFT) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6897 |
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- Rewards/chosen: -0.0098 |
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- Rewards/rejected: -0.0175 |
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- Rewards/accuracies: 0.4200 |
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- Rewards/margins: 0.0078 |
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- Logps/rejected: -75.8027 |
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- Logps/chosen: -82.8953 |
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- Logits/rejected: -0.7964 |
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- Logits/chosen: -0.7394 |
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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-08 |
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- train_batch_size: 2 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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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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| 0.6965 | 0.4 | 50 | 0.6929 | -0.0030 | -0.0041 | 0.3700 | 0.0011 | -75.6681 | -82.8275 | -0.7963 | -0.7392 | |
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| 0.6948 | 0.8 | 100 | 0.6908 | -0.0022 | -0.0074 | 0.4250 | 0.0052 | -75.7008 | -82.8198 | -0.7961 | -0.7393 | |
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| 0.6921 | 1.2 | 150 | 0.6946 | -0.0077 | -0.0055 | 0.375 | -0.0022 | -75.6824 | -82.8750 | -0.7972 | -0.7399 | |
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| 0.6892 | 1.6 | 200 | 0.6941 | -0.0042 | -0.0030 | 0.3950 | -0.0012 | -75.6573 | -82.8394 | -0.7973 | -0.7404 | |
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| 0.6937 | 2.0 | 250 | 0.6911 | -0.0037 | -0.0083 | 0.4000 | 0.0046 | -75.7098 | -82.8345 | -0.7973 | -0.7405 | |
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| 0.6933 | 2.4 | 300 | 0.6899 | -0.0039 | -0.0110 | 0.4300 | 0.0071 | -75.7376 | -82.8367 | -0.7965 | -0.7395 | |
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| 0.6915 | 2.8 | 350 | 0.6870 | -0.0023 | -0.0151 | 0.4700 | 0.0128 | -75.7783 | -82.8204 | -0.7964 | -0.7393 | |
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| 0.6933 | 3.2 | 400 | 0.6894 | -0.0069 | -0.0151 | 0.4100 | 0.0082 | -75.7783 | -82.8666 | -0.7958 | -0.7387 | |
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| 0.6981 | 3.6 | 450 | 0.6882 | 0.0006 | -0.0100 | 0.4350 | 0.0106 | -75.7275 | -82.7918 | -0.7968 | -0.7398 | |
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| 0.6904 | 4.0 | 500 | 0.6896 | -0.0001 | -0.0078 | 0.4050 | 0.0077 | -75.7054 | -82.7989 | -0.7958 | -0.7391 | |
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| 0.6964 | 4.4 | 550 | 0.6867 | -0.0021 | -0.0157 | 0.4400 | 0.0136 | -75.7838 | -82.8187 | -0.7965 | -0.7396 | |
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| 0.6939 | 4.8 | 600 | 0.6902 | 0.0015 | -0.0050 | 0.4000 | 0.0065 | -75.6771 | -82.7829 | -0.7968 | -0.7398 | |
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| 0.6963 | 5.2 | 650 | 0.6892 | -0.0069 | -0.0155 | 0.4200 | 0.0085 | -75.7818 | -82.8672 | -0.7964 | -0.7394 | |
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| 0.6951 | 5.6 | 700 | 0.6873 | -0.0025 | -0.0149 | 0.4650 | 0.0124 | -75.7766 | -82.8228 | -0.7963 | -0.7389 | |
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| 0.6855 | 6.0 | 750 | 0.6876 | -0.0066 | -0.0183 | 0.4550 | 0.0118 | -75.8105 | -82.8633 | -0.7965 | -0.7394 | |
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| 0.6873 | 6.4 | 800 | 0.6877 | -0.0072 | -0.0189 | 0.4550 | 0.0117 | -75.8165 | -82.8698 | -0.7964 | -0.7394 | |
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| 0.6848 | 6.8 | 850 | 0.6898 | -0.0098 | -0.0173 | 0.4100 | 0.0075 | -75.8003 | -82.8958 | -0.7964 | -0.7394 | |
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| 0.6983 | 7.2 | 900 | 0.6897 | -0.0098 | -0.0175 | 0.4200 | 0.0078 | -75.8027 | -82.8953 | -0.7964 | -0.7394 | |
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| 0.6859 | 7.6 | 950 | 0.6897 | -0.0098 | -0.0175 | 0.4200 | 0.0078 | -75.8027 | -82.8953 | -0.7964 | -0.7394 | |
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| 0.6888 | 8.0 | 1000 | 0.6897 | -0.0098 | -0.0175 | 0.4200 | 0.0078 | -75.8027 | -82.8953 | -0.7964 | -0.7394 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.0.0+cu117 |
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- Datasets 3.0.0 |
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- Tokenizers 0.19.1 |
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