jikaixuan commited on
Commit
c7b516e
1 Parent(s): 6494f60

Model save

Browse files
README.md CHANGED
@@ -15,15 +15,15 @@ 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: 0.6741
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- - Rewards/chosen: 0.0220
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- - Rewards/rejected: -0.0242
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- - Rewards/accuracies: 0.6680
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- - Rewards/margins: 0.0462
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- - Logps/rejected: -259.5420
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- - Logps/chosen: -284.0372
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- - Logits/rejected: -2.8454
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- - Logits/chosen: -2.8419
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  - Use Label: 0.0
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  - Pred Label: 0.0
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@@ -44,7 +44,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 5e-07
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  - train_batch_size: 4
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  - eval_batch_size: 4
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  - seed: 42
@@ -62,7 +62,7 @@ The following hyperparameters were used during training:
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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 | Use Label | Pred Label |
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  |:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:---------:|:----------:|
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- | 0.6744 | 1.0 | 955 | 0.6741 | 0.0220 | -0.0242 | 0.6680 | 0.0462 | -259.5420 | -284.0372 | -2.8454 | -2.8419 | 0.0 | 0.0 |
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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: 0.6433
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+ - Rewards/chosen: 0.0460
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+ - Rewards/rejected: -0.0949
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+ - Rewards/accuracies: 0.6740
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  - Use Label: 0.0
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  - Pred Label: 0.0
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 1e-06
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  - train_batch_size: 4
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  - eval_batch_size: 4
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  - seed: 42
 
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  |:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:---------:|:----------:|
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+ | 0.6441 | 1.0 | 955 | 0.6433 | 0.0460 | -0.0949 | 0.6740 | 0.1409 | -260.2492 | -283.7975 | -2.8439 | -2.8406 | 0.0 | 0.0 |
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  ### Framework versions
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