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zephyr-7b-align-scan

Text Generation
Transformers
TensorBoard
Safetensors
mistral
alignment-handbook
trl
dpo
Generated from Trainer
conversational
text-generation-inference
Model card Files Metrics Community
taicheng commited on
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  1. README.md +19 -17
  2. all_results.json +16 -16
  3. config.json +1 -1
  4. eval_results.json +13 -13
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README.md CHANGED
@@ -3,16 +3,10 @@ library_name: transformers
3
  license: apache-2.0
4
  base_model: alignment-handbook/zephyr-7b-sft-full
5
  tags:
6
- - alignment-handbook
7
- - trl
8
- - dpo
9
- - generated_from_trainer
10
  - trl
11
  - dpo
12
  - alignment-handbook
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  - generated_from_trainer
14
- datasets:
15
- - HuggingFaceH4/ultrafeedback_binarized
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  model-index:
17
  - name: zephyr-7b-align-scan
18
  results: []
@@ -23,17 +17,17 @@ should probably proofread and complete it, then remove this comment. -->
23
 
24
  # zephyr-7b-align-scan
25
 
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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 HuggingFaceH4/ultrafeedback_binarized dataset.
27
  It achieves the following results on the evaluation set:
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- - Loss: 0.6676
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- - Rewards/chosen: -0.0346
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- - Rewards/rejected: -0.0944
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- - Rewards/accuracies: 0.3234
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- - Rewards/margins: 0.0598
33
- - Logps/rejected: -90.5673
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- - Logps/chosen: -77.9509
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- - Logits/rejected: -2.4211
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- - Logits/chosen: -2.4391
37
 
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  ## Model description
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@@ -70,7 +64,15 @@ The following hyperparameters were used during training:
70
 
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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 |
72
  |:-------------:|:------:|:----:|:-------------:|:---------------:|:------------:|:--------------:|:---------------:|:------------------:|:--------------:|:---------------:|:----------------:|
73
- | 1.6705 | 1.0417 | 100 | -2.4391 | -2.4211 | -77.9509 | -90.5673 | 3.3938 | 0.3234 | -3.1108 | 5.3764 | -8.4871 |
 
 
 
 
 
 
 
 
74
 
75
 
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  ### Framework versions
 
3
  license: apache-2.0
4
  base_model: alignment-handbook/zephyr-7b-sft-full
5
  tags:
 
 
 
 
6
  - trl
7
  - dpo
8
  - alignment-handbook
9
  - generated_from_trainer
 
 
10
  model-index:
11
  - name: zephyr-7b-align-scan
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  results: []
 
17
 
18
  # zephyr-7b-align-scan
19
 
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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 an unknown dataset.
21
  It achieves the following results on the evaluation set:
22
+ - Logits/chosen: 0.4326
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+ - Logits/rejected: 0.9106
24
+ - Logps/chosen: -136.2882
25
+ - Logps/rejected: -189.5506
26
+ - Loss: 0.5958
27
+ - Rewards/accuracies: 0.3710
28
+ - Rewards/chosen: -0.6180
29
+ - Rewards/margins: 0.4663
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+ - Rewards/rejected: -1.0842
31
 
32
  ## Model description
33
 
 
64
 
65
  | Training Loss | Epoch | Step | Logits/chosen | Logits/rejected | Logps/chosen | Logps/rejected | Validation Loss | Rewards/accuracies | Rewards/chosen | Rewards/margins | Rewards/rejected |
66
  |:-------------:|:------:|:----:|:-------------:|:---------------:|:------------:|:--------------:|:---------------:|:------------------:|:--------------:|:---------------:|:----------------:|
67
+ | 0.6719 | 0.1047 | 100 | -2.3487 | -2.3310 | -73.2865 | -85.4479 | 0.6687 | 0.3274 | 0.0120 | 0.0552 | -0.0432 |
68
+ | 0.6488 | 0.2093 | 200 | -1.2584 | -1.2396 | -102.5743 | -130.3725 | 0.6348 | 0.3373 | -0.2808 | 0.2116 | -0.4924 |
69
+ | 0.6331 | 0.3140 | 300 | -1.1873 | -1.0320 | -120.1307 | -157.0977 | 0.6195 | 0.3452 | -0.4564 | 0.3033 | -0.7597 |
70
+ | 0.6321 | 0.4186 | 400 | 0.0335 | 0.3728 | -146.9637 | -190.2757 | 0.6099 | 0.3631 | -0.7247 | 0.3667 | -1.0915 |
71
+ | 0.6318 | 0.5233 | 500 | 2.6547 | 2.9545 | -155.4930 | -204.6371 | 0.6105 | 0.3552 | -0.8100 | 0.4251 | -1.2351 |
72
+ | 0.5978 | 0.6279 | 600 | 0.9606 | 1.4420 | -147.8560 | -199.5121 | 0.6015 | 0.3591 | -0.7336 | 0.4502 | -1.1838 |
73
+ | 0.6113 | 0.7326 | 700 | 1.1833 | 1.7188 | -150.6854 | -204.9195 | 0.5986 | 0.3651 | -0.7619 | 0.4760 | -1.2379 |
74
+ | 0.5885 | 0.8373 | 800 | 0.5613 | 1.0128 | -141.6925 | -192.4845 | 0.5974 | 0.3690 | -0.6720 | 0.4415 | -1.1136 |
75
+ | 0.595 | 0.9419 | 900 | 0.4326 | 0.9106 | -136.2882 | -189.5506 | 0.5958 | 0.3710 | -0.6180 | 0.4663 | -1.0842 |
76
 
77
 
78
  ### Framework versions
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- "use_cache": true,
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  "vocab_size": 32000
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  }
 
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  "tie_word_embeddings": false,
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+ "use_cache": false,
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  }
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