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model_5M_large_ds_masking_0.4_predicted_hparamas

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  1. README.md +39 -9
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3592
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- - Accuracy: 0.8820
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  ## Model description
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@@ -52,13 +52,43 @@ 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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- | No log | 0 | 0 | 4.5828 | 0.0102 |
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- | No log | 0.0044 | 122 | 0.6880 | 0.7866 |
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- | No log | 0.0087 | 244 | 0.4368 | 0.8569 |
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- | No log | 0.0131 | 366 | 0.4019 | 0.8682 |
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- | No log | 0.0175 | 488 | 0.3571 | 0.8823 |
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- | 6.242 | 0.0218 | 610 | 0.3568 | 0.8831 |
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- | 6.242 | 0.0262 | 732 | 0.3879 | 0.8729 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2523
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+ - Accuracy: 0.9142
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|
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+ | No log | 0 | 0 | 4.4578 | 0.0029 |
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+ | No log | 0.0044 | 122 | 1.0031 | 0.6944 |
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+ | No log | 0.0087 | 244 | 0.6903 | 0.7791 |
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+ | No log | 0.0131 | 366 | 0.5695 | 0.8139 |
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+ | No log | 0.0175 | 488 | 0.5445 | 0.8215 |
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+ | 8.1688 | 0.0218 | 610 | 0.5206 | 0.8292 |
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+ | 8.1688 | 0.0262 | 732 | 0.4568 | 0.8489 |
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+ | 8.1688 | 0.0306 | 854 | 0.4226 | 0.8600 |
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+ | 8.1688 | 0.0349 | 976 | 0.3945 | 0.8684 |
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+ | 4.0756 | 0.0393 | 1098 | 0.3686 | 0.8767 |
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+ | 4.0756 | 0.0437 | 1220 | 0.3483 | 0.8831 |
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+ | 4.0756 | 0.0480 | 1342 | 0.3363 | 0.8869 |
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+ | 4.0756 | 0.0524 | 1464 | 0.3249 | 0.8906 |
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+ | 2.945 | 0.0568 | 1586 | 0.3184 | 0.8928 |
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+ | 2.945 | 0.0611 | 1708 | 0.3092 | 0.8954 |
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+ | 2.945 | 0.0655 | 1830 | 0.3072 | 0.8962 |
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+ | 2.945 | 0.0699 | 1952 | 0.2999 | 0.8985 |
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+ | 2.5794 | 0.0743 | 2074 | 0.2950 | 0.9002 |
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+ | 2.5794 | 0.0786 | 2196 | 0.2924 | 0.9008 |
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+ | 2.5794 | 0.0830 | 2318 | 0.2876 | 0.9022 |
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+ | 2.5794 | 0.0874 | 2440 | 0.2836 | 0.9036 |
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+ | 2.4062 | 0.0917 | 2562 | 0.2790 | 0.9052 |
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+ | 2.4062 | 0.0961 | 2684 | 0.2764 | 0.9062 |
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+ | 2.4062 | 0.1005 | 2806 | 0.2759 | 0.9061 |
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+ | 2.4062 | 0.1048 | 2928 | 0.2735 | 0.9070 |
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+ | 2.3491 | 0.1092 | 3050 | 0.2710 | 0.9080 |
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+ | 2.3491 | 0.1136 | 3172 | 0.2669 | 0.9093 |
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+ | 2.3491 | 0.1179 | 3294 | 0.2656 | 0.9096 |
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+ | 2.3491 | 0.1223 | 3416 | 0.2644 | 0.9100 |
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+ | 2.2145 | 0.1267 | 3538 | 0.2615 | 0.9112 |
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+ | 2.2145 | 0.1310 | 3660 | 0.2603 | 0.9113 |
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+ | 2.2145 | 0.1354 | 3782 | 0.2563 | 0.9129 |
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+ | 2.2145 | 0.1398 | 3904 | 0.2553 | 0.9131 |
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+ | 2.1421 | 0.1441 | 4026 | 0.2527 | 0.9141 |
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+ | 2.1421 | 0.1485 | 4148 | 0.2503 | 0.9148 |
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+ | 2.1421 | 0.1529 | 4270 | 0.2516 | 0.9143 |
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+ | 2.1421 | 0.1572 | 4392 | 0.2515 | 0.9141 |
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  ### Framework versions
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