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model_15M_medium_ds_masking_0.15_explicit_hs_predicted_hparamas

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Files changed (3) hide show
  1. README.md +10 -11
  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: 0.0156
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- - Accuracy: 0.9946
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  ## Model description
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@@ -50,15 +50,14 @@ 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 | 4.4299 | 0.0029 |
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- | 0.0794 | 0.2190 | 1953 | 0.0536 | 0.9822 |
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- | 0.0427 | 0.4379 | 3906 | 0.0336 | 0.9888 |
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- | 0.0318 | 0.6569 | 5859 | 0.0260 | 0.9911 |
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- | 0.026 | 0.8759 | 7812 | 0.0213 | 0.9926 |
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- | 0.0225 | 1.0949 | 9765 | 0.0184 | 0.9936 |
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- | 0.0201 | 1.3138 | 11718 | 0.0168 | 0.9941 |
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- | 0.0188 | 1.5328 | 13671 | 0.0166 | 0.9943 |
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- | 0.018 | 1.7518 | 15624 | 0.0159 | 0.9945 |
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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: 0.1041
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+ - Accuracy: 0.9653
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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 | 4.5491 | 0.0017 |
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+ | 0.1511 | 0.2190 | 1953 | 0.1272 | 0.9594 |
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+ | 0.1332 | 0.4379 | 3906 | 0.1154 | 0.9627 |
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+ | 0.1313 | 0.6569 | 5859 | 0.1138 | 0.9629 |
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+ | 0.1188 | 0.8759 | 7812 | 0.1078 | 0.9643 |
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+ | 0.1174 | 1.0949 | 9765 | 0.1039 | 0.9654 |
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+ | 0.1161 | 1.3138 | 11718 | 0.1030 | 0.9658 |
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+ | 0.1106 | 1.5328 | 13671 | 0.1041 | 0.9654 |
 
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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  size 60925776
 
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training_args.bin CHANGED
@@ -1,3 +1,3 @@
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