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RikkiXu
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zephyr-7b-dpo-full

Text Generation
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mistral
trl
dpo
Generated from Trainer
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text-generation-inference
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Files changed (10) hide show
  1. README.md +16 -26
  2. all_results.json +5 -5
  3. config.json +1 -1
  4. model-00001-of-00003.safetensors +1 -1
  5. model-00002-of-00003.safetensors +1 -1
  6. model-00003-of-00003.safetensors +1 -1
  7. tokenizer.json +0 -1
  8. train_results.json +5 -5
  9. trainer_state.json +0 -0
  10. training_args.bin +1 -1
README.md CHANGED
@@ -17,15 +17,15 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6824
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- - Rewards/chosen: -4.2277
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- - Rewards/rejected: -7.2864
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- - Rewards/accuracies: 0.7773
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- - Rewards/margins: 3.0587
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- - Logps/rejected: -408.3961
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- - Logps/chosen: -347.1476
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- - Logits/rejected: -0.8310
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- - Logits/chosen: -1.2135
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  ## Model description
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@@ -56,26 +56,16 @@ The following hyperparameters were used during training:
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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_ratio: 0.1
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- - num_epochs: 3
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  ### Training results
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- | Training Loss | Epoch | Step | Logits/chosen | Logits/rejected | Logps/chosen | Logps/rejected | Validation Loss | Rewards/accuracies | Rewards/chosen | Rewards/margins | Rewards/rejected |
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- |:-------------:|:-----:|:----:|:-------------:|:---------------:|:------------:|:--------------:|:---------------:|:------------------:|:--------------:|:---------------:|:----------------:|
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- | 0.582 | 0.21 | 100 | -2.5812 | -2.5431 | -254.2386 | -263.2876 | 0.5878 | 0.7188 | 0.4177 | 0.4488 | -0.0310 |
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- | 0.558 | 0.42 | 200 | -2.3893 | -2.3398 | -261.4734 | -280.4191 | 0.5196 | 0.7773 | 0.0560 | 0.9436 | -0.8876 |
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- | 0.4914 | 0.63 | 300 | -2.3653 | -2.3039 | -264.2936 | -286.6201 | 0.5110 | 0.7656 | -0.0850 | 1.1126 | -1.1976 |
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- | 0.4922 | 0.84 | 400 | -2.3145 | -2.2570 | -263.2854 | -285.4248 | 0.5095 | 0.7852 | -0.0346 | 1.1033 | -1.1379 |
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- | 0.1908 | 1.05 | 500 | -2.2442 | -2.1660 | -269.8426 | -300.6474 | 0.5179 | 0.7852 | -0.3625 | 1.5366 | -1.8990 |
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- | 0.1675 | 1.26 | 600 | -2.2220 | -2.1249 | -287.2300 | -324.0812 | 0.5377 | 0.8008 | -1.2318 | 1.8389 | -3.0707 |
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- | 0.1567 | 1.46 | 700 | -2.0453 | -1.9285 | -298.7820 | -333.3354 | 0.5348 | 0.7891 | -1.8094 | 1.7240 | -3.5334 |
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- | 0.1475 | 1.67 | 800 | -2.2409 | -2.1202 | -296.3533 | -332.4951 | 0.5382 | 0.8008 | -1.6880 | 1.8034 | -3.4914 |
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- | 0.1422 | 1.88 | 900 | -2.1980 | -2.0630 | -296.0324 | -335.6016 | 0.5518 | 0.7852 | -1.6719 | 1.9748 | -3.6467 |
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- | 0.044 | 2.09 | 1000 | -1.7406 | -1.4629 | -316.4520 | -365.4959 | 0.6058 | 0.7891 | -2.6929 | 2.4485 | -5.1414 |
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- | 0.0307 | 2.3 | 1100 | -1.3310 | -0.9162 | -337.0383 | -397.1617 | 0.6700 | 0.7695 | -3.7222 | 3.0025 | -6.7247 |
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- | 0.0317 | 2.51 | 1200 | 0.6711 | -3.9616 | -6.9639 | 0.7773 | 3.0023 | -401.9448 | -341.8261 | -0.9227 | -1.2927 |
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- | 0.0264 | 2.72 | 1300 | 0.6778 | -4.2314 | -7.2584 | 0.7773 | 3.0270 | -407.8352 | -347.2216 | -0.8370 | -1.2190 |
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- | 0.0343 | 2.93 | 1400 | 0.6824 | -4.2277 | -7.2864 | 0.7773 | 3.0587 | -408.3961 | -347.1476 | -0.8310 | -1.2135 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5348
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+ - Rewards/chosen: 0.6286
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+ - Rewards/rejected: -0.2212
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+ - Rewards/accuracies: 0.7539
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+ - Rewards/margins: 0.8498
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+ - Logps/rejected: -267.0915
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+ - Logps/chosen: -250.0218
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+ - Logits/rejected: -2.4324
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+ - Logits/chosen: -2.4731
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  ## Model description
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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_ratio: 0.1
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+ - num_epochs: 1
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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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+ | 0.565 | 0.21 | 100 | 0.5718 | 0.5950 | -0.0056 | 0.7383 | 0.6006 | -262.7792 | -250.6930 | -2.5105 | -2.5504 |
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+ | 0.5467 | 0.42 | 200 | 0.5433 | 0.6478 | -0.1115 | 0.7461 | 0.7594 | -264.8979 | -249.6371 | -2.4783 | -2.5179 |
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+ | 0.517 | 0.63 | 300 | 0.5370 | 0.5686 | -0.2689 | 0.7695 | 0.8374 | -268.0445 | -251.2220 | -2.5203 | -2.5623 |
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+ | 0.518 | 0.84 | 400 | 0.5348 | 0.6286 | -0.2212 | 0.7539 | 0.8498 | -267.0915 | -250.0218 | -2.4324 | -2.4731 |
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
all_results.json CHANGED
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config.json CHANGED
@@ -20,7 +20,7 @@
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  "torch_dtype": "bfloat16",
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  "use_cache": false,
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  "vocab_size": 32000
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  }
 
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  "sliding_window": 4096,
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  "tie_word_embeddings": false,
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  "torch_dtype": "bfloat16",
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  "use_cache": false,
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train_results.json CHANGED
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