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Fine-tuned POS tagger for Sanskrit

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  1. README.md +5 -5
  2. config.json +9 -1
  3. model.safetensors +2 -2
  4. training_args.bin +2 -2
README.md CHANGED
@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6171
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- - Accuracy: 0.7924
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  ## Model description
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@@ -50,9 +50,9 @@ 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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- | 0.9435 | 1.0 | 136 | 0.8051 | 0.7273 |
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- | 0.6803 | 2.0 | 272 | 0.6515 | 0.7868 |
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- | 0.5335 | 3.0 | 408 | 0.6171 | 0.7924 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6378
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+ - Accuracy: 0.7854
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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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+ | 0.951 | 1.0 | 136 | 0.8292 | 0.7296 |
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+ | 0.7118 | 2.0 | 272 | 0.6733 | 0.7765 |
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+ | 0.5504 | 3.0 | 408 | 0.6378 | 0.7854 |
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  ### Framework versions
config.json CHANGED
@@ -23,7 +23,11 @@
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  "10": "LABEL_10",
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  "11": "LABEL_11",
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  "12": "LABEL_12",
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- "13": "LABEL_13"
 
 
 
 
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  },
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  "initializer_range": 0.02,
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  "intermediate_size": 3072,
@@ -34,6 +38,10 @@
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  "LABEL_11": 11,
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  "LABEL_12": 12,
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  "LABEL_13": 13,
 
 
 
 
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  "LABEL_4": 4,
 
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  "10": "LABEL_10",
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  "11": "LABEL_11",
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  "12": "LABEL_12",
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+ "13": "LABEL_13",
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+ "14": "LABEL_14",
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+ "15": "LABEL_15",
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+ "16": "LABEL_16",
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+ "17": "LABEL_17"
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  },
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  "initializer_range": 0.02,
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  "intermediate_size": 3072,
 
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  "LABEL_11": 11,
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  "LABEL_12": 12,
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  "LABEL_13": 13,
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+ "LABEL_14": 14,
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+ "LABEL_16": 16,
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+ "LABEL_17": 17,
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  "LABEL_2": 2,
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  "LABEL_3": 3,
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  "LABEL_4": 4,
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