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tsavage68
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MPT_1000_STEPS_1e7_rate_05_beta_DPO

Text Generation
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mpt
trl
dpo
Generated from Trainer
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text-generation-inference
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  1. README.md +89 -0
  2. config.json +46 -0
  3. final_checkpoint/config.json +46 -0
  4. final_checkpoint/generation_config.json +6 -0
  5. final_checkpoint/model-00001-of-00003.safetensors +3 -0
  6. final_checkpoint/model-00002-of-00003.safetensors +3 -0
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  9. generation_config.json +6 -0
  10. model-00001-of-00003.safetensors +3 -0
  11. model-00002-of-00003.safetensors +3 -0
  12. model-00003-of-00003.safetensors +3 -0
  13. model.safetensors.index.json +201 -0
  14. special_tokens_map.json +24 -0
  15. tokenizer.json +0 -0
  16. tokenizer_config.json +212 -0
  17. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: mosaicml/mpt-7b-instruct
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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: MPT_1000_STEPS_1e7_rate_03_beta_DPO
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+ results: []
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+ ---
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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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+
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+ # MPT_1000_STEPS_1e7_rate_03_beta_DPO
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+
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+ This model is a fine-tuned version of [mosaicml/mpt-7b-instruct](https://huggingface.co/mosaicml/mpt-7b-instruct) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.6924
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+ - Rewards/chosen: -0.0146
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+ - Rewards/rejected: -0.0175
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+ - Rewards/accuracies: 0.5275
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+ - Rewards/margins: 0.0029
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+ - Logps/rejected: -21.6159
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+ - Logps/chosen: -20.8410
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+ - Logits/rejected: 14.2241
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+ - Logits/chosen: 14.2267
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 1e-07
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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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+
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+ ### Training results
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+
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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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+ | 0.6908 | 0.05 | 50 | 0.6958 | -0.0024 | 0.0016 | 0.4835 | -0.0040 | -21.5521 | -20.8002 | 14.2618 | 14.2644 |
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+ | 0.7007 | 0.1 | 100 | 0.6940 | -0.0004 | -0.0001 | 0.5033 | -0.0003 | -21.5577 | -20.7936 | 14.2508 | 14.2534 |
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+ | 0.6945 | 0.15 | 150 | 0.6935 | -0.0010 | -0.0016 | 0.4923 | 0.0006 | -21.5629 | -20.7956 | 14.2501 | 14.2527 |
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+ | 0.6911 | 0.2 | 200 | 0.6947 | 0.0111 | 0.0130 | 0.5055 | -0.0019 | -21.5142 | -20.7552 | 14.2536 | 14.2561 |
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+ | 0.6944 | 0.24 | 250 | 0.6926 | -0.0007 | -0.0032 | 0.5297 | 0.0025 | -21.5681 | -20.7945 | 14.2489 | 14.2515 |
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+ | 0.6893 | 0.29 | 300 | 0.6925 | -0.0029 | -0.0056 | 0.5143 | 0.0027 | -21.5761 | -20.8017 | 14.2454 | 14.2480 |
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+ | 0.6964 | 0.34 | 350 | 0.6933 | -0.0031 | -0.0043 | 0.4901 | 0.0012 | -21.5718 | -20.8026 | 14.2500 | 14.2526 |
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+ | 0.6846 | 0.39 | 400 | 0.6899 | -0.0142 | -0.0220 | 0.5516 | 0.0078 | -21.6306 | -20.8394 | 14.2259 | 14.2284 |
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+ | 0.6823 | 0.44 | 450 | 0.6910 | -0.0143 | -0.0200 | 0.5143 | 0.0056 | -21.6240 | -20.8400 | 14.2294 | 14.2320 |
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+ | 0.6838 | 0.49 | 500 | 0.6908 | -0.0099 | -0.0159 | 0.5297 | 0.0059 | -21.6103 | -20.8253 | 14.2237 | 14.2263 |
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+ | 0.678 | 0.54 | 550 | 0.6897 | -0.0151 | -0.0234 | 0.5407 | 0.0082 | -21.6354 | -20.8427 | 14.2251 | 14.2277 |
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+ | 0.6872 | 0.59 | 600 | 0.6915 | -0.0176 | -0.0223 | 0.5385 | 0.0047 | -21.6318 | -20.8508 | 14.2284 | 14.2311 |
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+ | 0.6881 | 0.64 | 650 | 0.6906 | -0.0132 | -0.0196 | 0.5319 | 0.0064 | -21.6228 | -20.8362 | 14.2236 | 14.2262 |
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+ | 0.6841 | 0.68 | 700 | 0.6910 | -0.0146 | -0.0202 | 0.5143 | 0.0057 | -21.6249 | -20.8408 | 14.2152 | 14.2178 |
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+ | 0.6883 | 0.73 | 750 | 0.6901 | -0.0148 | -0.0223 | 0.5626 | 0.0075 | -21.6317 | -20.8414 | 14.2218 | 14.2244 |
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+ | 0.6813 | 0.78 | 800 | 0.6917 | -0.0150 | -0.0192 | 0.5341 | 0.0041 | -21.6213 | -20.8422 | 14.2255 | 14.2281 |
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+ | 0.6987 | 0.83 | 850 | 0.6902 | -0.0129 | -0.0204 | 0.5297 | 0.0075 | -21.6253 | -20.8350 | 14.2198 | 14.2223 |
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+ | 0.687 | 0.88 | 900 | 0.6928 | -0.0126 | -0.0148 | 0.5121 | 0.0021 | -21.6067 | -20.8343 | 14.2248 | 14.2275 |
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+ | 0.6885 | 0.93 | 950 | 0.6924 | -0.0146 | -0.0175 | 0.5275 | 0.0029 | -21.6159 | -20.8410 | 14.2241 | 14.2267 |
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+ | 0.6904 | 0.98 | 1000 | 0.6924 | -0.0146 | -0.0175 | 0.5275 | 0.0029 | -21.6159 | -20.8410 | 14.2241 | 14.2267 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.39.1
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+ - Pytorch 2.0.0+cu117
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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