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mingye94
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rm_llama3_8B_helpsteer2

Safetensors
llama
trl
reward-trainer
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End of training

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  1. README.md +15 -15
  2. model-00001-of-00004.safetensors +1 -1
  3. model-00002-of-00004.safetensors +1 -1
  4. model-00003-of-00004.safetensors +1 -1
  5. model-00004-of-00004.safetensors +1 -1
  6. training_args.bin +1 -1
README.md CHANGED
@@ -19,8 +19,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6567
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- - Accuracy: 0.6416
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  ## Model description
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@@ -39,7 +39,7 @@ 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-06
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  - train_batch_size: 32
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  - eval_batch_size: 8
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  - seed: 42
@@ -52,18 +52,18 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|
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- | 0.7676 | 0.1572 | 50 | 0.7708 | 0.5183 |
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- | 0.7583 | 0.3145 | 100 | 0.7717 | 0.6012 |
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- | 0.7383 | 0.4717 | 150 | 0.7041 | 0.6031 |
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- | 0.6935 | 0.6289 | 200 | 0.6895 | 0.5954 |
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- | 0.662 | 0.7862 | 250 | 0.6750 | 0.6262 |
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- | 0.6563 | 0.9434 | 300 | 0.6657 | 0.6339 |
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- | 0.5923 | 1.1006 | 350 | 0.6492 | 0.6493 |
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- | 0.5208 | 1.2579 | 400 | 0.6549 | 0.6416 |
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- | 0.5183 | 1.4151 | 450 | 0.6575 | 0.6301 |
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- | 0.5396 | 1.5723 | 500 | 0.6525 | 0.6281 |
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- | 0.5457 | 1.7296 | 550 | 0.6554 | 0.6320 |
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- | 0.5312 | 1.8868 | 600 | 0.6567 | 0.6416 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6229
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+ - Accuracy: 0.6628
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 1e-05
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  - train_batch_size: 32
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  - eval_batch_size: 8
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|
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+ | 0.8065 | 0.1572 | 50 | 0.7081 | 0.5684 |
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+ | 0.7286 | 0.3145 | 100 | 0.7295 | 0.5780 |
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+ | 0.6961 | 0.4717 | 150 | 0.6795 | 0.5761 |
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+ | 0.6768 | 0.6289 | 200 | 0.6843 | 0.5800 |
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+ | 0.6646 | 0.7862 | 250 | 0.6486 | 0.6204 |
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+ | 0.6684 | 0.9434 | 300 | 0.6573 | 0.6127 |
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+ | 0.605 | 1.1006 | 350 | 0.6337 | 0.6744 |
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+ | 0.5492 | 1.2579 | 400 | 0.6335 | 0.6705 |
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+ | 0.5426 | 1.4151 | 450 | 0.6267 | 0.6859 |
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+ | 0.5521 | 1.5723 | 500 | 0.6206 | 0.6898 |
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+ | 0.561 | 1.7296 | 550 | 0.6247 | 0.6782 |
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+ | 0.5445 | 1.8868 | 600 | 0.6229 | 0.6628 |
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  ### Framework versions
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