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vempaliakhil
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my-dear-watson-nli-model

Text Classification
Transformers
Safetensors
deberta-v2
Generated from Trainer
Inference Endpoints
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vempaliakhil commited on
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End of training

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Files changed (5) hide show
  1. README.md +10 -10
  2. config.json +1 -1
  3. model.safetensors +1 -1
  4. tokenizer.json +2 -2
  5. training_args.bin +2 -2
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7](https://huggingface.co/MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.9620
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- - Accuracy: 0.8540
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  ## Model description
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@@ -51,15 +51,15 @@ 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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- | 0.4765 | 1.0 | 682 | 0.4576 | 0.8267 |
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- | 0.3844 | 2.0 | 1364 | 0.5010 | 0.8325 |
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- | 0.1273 | 3.0 | 2046 | 0.7488 | 0.8540 |
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- | 0.052 | 4.0 | 2728 | 0.9620 | 0.8540 |
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  ### Framework versions
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- - Transformers 4.40.0
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- - Pytorch 2.2.1+cu121
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- - Datasets 2.19.0
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- - Tokenizers 0.19.1
 
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  This model is a fine-tuned version of [MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7](https://huggingface.co/MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.1099
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+ - Accuracy: 0.8309
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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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+ | 0.4693 | 1.0 | 682 | 0.5665 | 0.7921 |
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+ | 0.3909 | 2.0 | 1364 | 0.5350 | 0.7995 |
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+ | 0.1308 | 3.0 | 2046 | 0.7919 | 0.8325 |
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+ | 0.0525 | 4.0 | 2728 | 1.1099 | 0.8309 |
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  ### Framework versions
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+ - Transformers 4.39.3
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+ - Pytorch 2.1.2
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
config.json CHANGED
@@ -39,7 +39,7 @@
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  "relative_attention": true,
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  "share_att_key": true,
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  "torch_dtype": "float32",
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- "transformers_version": "4.40.0",
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  "type_vocab_size": 0,
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  "vocab_size": 251000
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  }
 
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  "relative_attention": true,
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  "share_att_key": true,
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  "torch_dtype": "float32",
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+ "transformers_version": "4.39.3",
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  "type_vocab_size": 0,
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  "vocab_size": 251000
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  }
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