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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_03beta_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_03beta_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: 0.6864 |
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- Rewards/chosen: -0.0017 |
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- Rewards/rejected: -0.0201 |
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- Rewards/accuracies: 0.4050 |
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- Rewards/margins: 0.0184 |
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- Logps/rejected: -75.6942 |
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- Logps/chosen: -82.8034 |
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- Logits/rejected: -0.7975 |
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- Logits/chosen: -0.7402 |
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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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| 0.6912 | 0.4 | 50 | 0.6940 | -0.0075 | -0.0104 | 0.4000 | 0.0029 | -75.6618 | -82.8226 | -0.7964 | -0.7393 | |
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| 0.6947 | 0.8 | 100 | 0.6925 | 0.0014 | -0.0057 | 0.3850 | 0.0070 | -75.6461 | -82.7931 | -0.7963 | -0.7394 | |
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| 0.6873 | 1.2 | 150 | 0.6982 | -0.0140 | -0.0096 | 0.3950 | -0.0044 | -75.6592 | -82.8444 | -0.7963 | -0.7393 | |
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| 0.6777 | 1.6 | 200 | 0.6892 | -0.0038 | -0.0171 | 0.4100 | 0.0134 | -75.6844 | -82.8103 | -0.7963 | -0.7393 | |
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| 0.6879 | 2.0 | 250 | 0.6890 | -0.0049 | -0.0185 | 0.3800 | 0.0136 | -75.6890 | -82.8142 | -0.7980 | -0.7411 | |
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| 0.6991 | 2.4 | 300 | 0.6849 | -0.0170 | -0.0393 | 0.4300 | 0.0223 | -75.7583 | -82.8544 | -0.7974 | -0.7404 | |
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| 0.678 | 2.8 | 350 | 0.6716 | -0.0122 | -0.0614 | 0.4900 | 0.0492 | -75.8319 | -82.8383 | -0.7967 | -0.7398 | |
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| 0.7072 | 3.2 | 400 | 0.6885 | -0.0120 | -0.0278 | 0.4350 | 0.0158 | -75.7200 | -82.8378 | -0.7974 | -0.7404 | |
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| 0.6858 | 3.6 | 450 | 0.6943 | -0.0160 | -0.0191 | 0.3450 | 0.0031 | -75.6910 | -82.8512 | -0.7974 | -0.7404 | |
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| 0.6815 | 4.0 | 500 | 0.6821 | -0.0089 | -0.0364 | 0.4300 | 0.0275 | -75.7484 | -82.8273 | -0.7972 | -0.7401 | |
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| 0.6857 | 4.4 | 550 | 0.6879 | -0.0086 | -0.0255 | 0.4000 | 0.0169 | -75.7121 | -82.8263 | -0.7972 | -0.7403 | |
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| 0.6825 | 4.8 | 600 | 0.6854 | -0.0203 | -0.0417 | 0.4150 | 0.0214 | -75.7663 | -82.8655 | -0.7968 | -0.7398 | |
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| 0.698 | 5.2 | 650 | 0.6921 | -0.0186 | -0.0277 | 0.4200 | 0.0091 | -75.7196 | -82.8597 | -0.7973 | -0.7401 | |
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| 0.6795 | 5.6 | 700 | 0.6885 | -0.0063 | -0.0217 | 0.3700 | 0.0154 | -75.6996 | -82.8189 | -0.7973 | -0.7402 | |
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| 0.6931 | 6.0 | 750 | 0.6875 | -0.0110 | -0.0282 | 0.4150 | 0.0172 | -75.7213 | -82.8344 | -0.7974 | -0.7404 | |
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| 0.6804 | 6.4 | 800 | 0.6888 | -0.0053 | -0.0191 | 0.3800 | 0.0137 | -75.6909 | -82.8156 | -0.7975 | -0.7402 | |
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| 0.6958 | 6.8 | 850 | 0.6864 | -0.0017 | -0.0201 | 0.4050 | 0.0184 | -75.6942 | -82.8034 | -0.7975 | -0.7402 | |
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| 0.6932 | 7.2 | 900 | 0.6864 | -0.0017 | -0.0201 | 0.4050 | 0.0184 | -75.6942 | -82.8034 | -0.7975 | -0.7402 | |
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| 0.6785 | 7.6 | 950 | 0.6864 | -0.0017 | -0.0201 | 0.4050 | 0.0184 | -75.6942 | -82.8034 | -0.7975 | -0.7402 | |
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| 0.6947 | 8.0 | 1000 | 0.6864 | -0.0017 | -0.0201 | 0.4050 | 0.0184 | -75.6942 | -82.8034 | -0.7975 | -0.7402 | |
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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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