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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: tsavage68/IE_M2_1000steps_1e7rate_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_M2_1000steps_1e8rate_05beta_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_M2_1000steps_1e8rate_05beta_cSFTDPO |
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This model is a fine-tuned version of [tsavage68/IE_M2_1000steps_1e7rate_SFT](https://huggingface.co/tsavage68/IE_M2_1000steps_1e7rate_SFT) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5967 |
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- Rewards/chosen: 0.0013 |
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- Rewards/rejected: -0.2212 |
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- Rewards/accuracies: 0.4600 |
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- Rewards/margins: 0.2225 |
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- Logps/rejected: -41.4643 |
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- Logps/chosen: -42.2029 |
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- Logits/rejected: -2.9153 |
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- Logits/chosen: -2.8540 |
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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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| 0.6945 | 0.4 | 50 | 0.6933 | 0.0121 | 0.0098 | 0.2450 | 0.0023 | -41.0022 | -42.1813 | -2.9159 | -2.8545 | |
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| 0.6936 | 0.8 | 100 | 0.6888 | 0.0052 | -0.0069 | 0.2150 | 0.0121 | -41.0356 | -42.1952 | -2.9158 | -2.8545 | |
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| 0.6628 | 1.2 | 150 | 0.6642 | 0.0025 | -0.0598 | 0.3650 | 0.0623 | -41.1414 | -42.2005 | -2.9158 | -2.8545 | |
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| 0.6553 | 1.6 | 200 | 0.6439 | -0.0046 | -0.1128 | 0.4350 | 0.1083 | -41.2475 | -42.2147 | -2.9156 | -2.8543 | |
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| 0.6399 | 2.0 | 250 | 0.6211 | -0.0017 | -0.1629 | 0.4600 | 0.1612 | -41.3475 | -42.2089 | -2.9153 | -2.8541 | |
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| 0.622 | 2.4 | 300 | 0.6110 | -0.0080 | -0.1940 | 0.4600 | 0.1859 | -41.4097 | -42.2216 | -2.9155 | -2.8542 | |
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| 0.6063 | 2.8 | 350 | 0.6052 | -0.0027 | -0.2028 | 0.4550 | 0.2001 | -41.4274 | -42.2109 | -2.9153 | -2.8540 | |
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| 0.6243 | 3.2 | 400 | 0.6005 | -0.0031 | -0.2152 | 0.4600 | 0.2121 | -41.4523 | -42.2118 | -2.9154 | -2.8541 | |
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| 0.6262 | 3.6 | 450 | 0.6019 | -0.0015 | -0.2107 | 0.4600 | 0.2092 | -41.4433 | -42.2085 | -2.9154 | -2.8541 | |
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| 0.6281 | 4.0 | 500 | 0.5955 | -0.0090 | -0.2341 | 0.4600 | 0.2251 | -41.4900 | -42.2236 | -2.9151 | -2.8538 | |
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| 0.5897 | 4.4 | 550 | 0.5966 | -0.0012 | -0.2244 | 0.4600 | 0.2232 | -41.4706 | -42.2079 | -2.9151 | -2.8538 | |
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| 0.5987 | 4.8 | 600 | 0.5991 | -0.0063 | -0.2220 | 0.4600 | 0.2157 | -41.4659 | -42.2182 | -2.9153 | -2.8541 | |
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| 0.6188 | 5.2 | 650 | 0.5972 | -0.0053 | -0.2271 | 0.4550 | 0.2218 | -41.4759 | -42.2160 | -2.9154 | -2.8541 | |
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| 0.6165 | 5.6 | 700 | 0.6060 | -0.0050 | -0.2031 | 0.4550 | 0.1981 | -41.4281 | -42.2156 | -2.9153 | -2.8540 | |
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| 0.5861 | 6.0 | 750 | 0.6007 | -0.0033 | -0.2152 | 0.4600 | 0.2119 | -41.4523 | -42.2121 | -2.9154 | -2.8540 | |
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| 0.5445 | 6.4 | 800 | 0.5984 | -0.0069 | -0.2252 | 0.4600 | 0.2183 | -41.4722 | -42.2193 | -2.9153 | -2.8539 | |
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| 0.6228 | 6.8 | 850 | 0.5987 | -0.0027 | -0.2205 | 0.4600 | 0.2178 | -41.4628 | -42.2110 | -2.9153 | -2.8539 | |
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| 0.5741 | 7.2 | 900 | 0.5967 | 0.0013 | -0.2212 | 0.4600 | 0.2225 | -41.4643 | -42.2029 | -2.9153 | -2.8540 | |
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| 0.5819 | 7.6 | 950 | 0.5967 | 0.0013 | -0.2212 | 0.4600 | 0.2225 | -41.4643 | -42.2029 | -2.9153 | -2.8540 | |
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| 0.607 | 8.0 | 1000 | 0.5967 | 0.0013 | -0.2212 | 0.4600 | 0.2225 | -41.4643 | -42.2029 | -2.9153 | -2.8540 | |
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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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