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mirfan899
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punjabi-muril-ner

Token Classification
Transformers
PyTorch
bert
Generated from Trainer
Inference Endpoints
Model card Files Community
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End of training

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Files changed (5) hide show
  1. README.md +21 -16
  2. config.json +1 -1
  3. pytorch_model.bin +1 -1
  4. tokenizer_config.json +43 -0
  5. training_args.bin +2 -2
README.md CHANGED
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/muril-base-cased](https://huggingface.co/google/muril-base-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0831
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- - Precision: 0.7350
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- - Recall: 0.7591
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- - F1: 0.7469
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- - Accuracy: 0.9843
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  ## Model description
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@@ -49,22 +49,27 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 5
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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- |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | 0.3465 | 1.0 | 1613 | 0.2747 | 0.0 | 0.0 | 0.0 | 0.9551 |
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- | 0.1642 | 2.0 | 3226 | 0.1273 | 0.6436 | 0.5216 | 0.5762 | 0.9758 |
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- | 0.1053 | 3.0 | 4839 | 0.0986 | 0.7257 | 0.7156 | 0.7206 | 0.9824 |
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- | 0.0863 | 4.0 | 6452 | 0.0854 | 0.7166 | 0.7620 | 0.7386 | 0.9837 |
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- | 0.0705 | 5.0 | 8065 | 0.0831 | 0.7350 | 0.7591 | 0.7469 | 0.9843 |
 
 
 
 
 
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  ### Framework versions
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- - Transformers 4.33.0
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- - Pytorch 2.0.0
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  - Datasets 2.14.5
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- - Tokenizers 0.13.3
 
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  This model is a fine-tuned version of [google/muril-base-cased](https://huggingface.co/google/muril-base-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0654
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+ - Precision: 0.7923
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+ - Recall: 0.8113
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+ - F1: 0.8017
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+ - Accuracy: 0.9859
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 10
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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+ |:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | 0.3366 | 1.0 | 1613 | 0.2698 | 0.0 | 0.0 | 0.0 | 0.9551 |
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+ | 0.1552 | 2.0 | 3226 | 0.1180 | 0.7114 | 0.4972 | 0.5853 | 0.9763 |
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+ | 0.0959 | 3.0 | 4839 | 0.0904 | 0.7262 | 0.7161 | 0.7211 | 0.9829 |
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+ | 0.0708 | 4.0 | 6452 | 0.0751 | 0.7679 | 0.7498 | 0.7587 | 0.9840 |
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+ | 0.0474 | 5.0 | 8065 | 0.0672 | 0.7907 | 0.7731 | 0.7818 | 0.9854 |
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+ | 0.0367 | 6.0 | 9678 | 0.0627 | 0.7870 | 0.8045 | 0.7957 | 0.9856 |
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+ | 0.0308 | 7.0 | 11291 | 0.0598 | 0.7942 | 0.7915 | 0.7928 | 0.9859 |
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+ | 0.0247 | 8.0 | 12904 | 0.0612 | 0.7891 | 0.8123 | 0.8005 | 0.9860 |
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+ | 0.0202 | 9.0 | 14517 | 0.0666 | 0.8015 | 0.8015 | 0.8015 | 0.9860 |
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+ | 0.0181 | 10.0 | 16130 | 0.0654 | 0.7923 | 0.8113 | 0.8017 | 0.9859 |
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  ### Framework versions
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+ - Transformers 4.34.0
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+ - Pytorch 2.0.1+cu118
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  - Datasets 2.14.5
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+ - Tokenizers 0.14.1
config.json CHANGED
@@ -37,7 +37,7 @@
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  "pad_token_id": 0,
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  "position_embedding_type": "absolute",
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  "torch_dtype": "float32",
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- "transformers_version": "4.33.0",
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  "type_vocab_size": 2,
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  "use_cache": true,
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  "vocab_size": 197285
 
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  "pad_token_id": 0,
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  "position_embedding_type": "absolute",
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  "torch_dtype": "float32",
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+ "transformers_version": "4.34.0",
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  "type_vocab_size": 2,
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  "use_cache": true,
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  "vocab_size": 197285
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tokenizer_config.json CHANGED
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  "clean_up_tokenization_spaces": true,
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  "cls_token": "[CLS]",
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  "do_basic_tokenize": true,
 
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  {
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+ "added_tokens_decoder": {
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+ "content": "[PAD]",
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+ "lstrip": false,
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+ "special": true
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+ "additional_special_tokens": [],
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  "clean_up_tokenization_spaces": true,
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  "cls_token": "[CLS]",
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  "do_basic_tokenize": true,
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