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deberta-v3-base-finetuned-t_vendor

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microsoft/deberta-v3-base-finetuned-t_vendor

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Files changed (5) hide show
  1. README.md +9 -9
  2. config.json +1 -1
  3. model.safetensors +1 -1
  4. runs/Jun25_22-34-41_8619c8f6a36e/events.out.tfevents.1719354881.8619c8f6a36e.841.8 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3170
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- - Accuracy: 0.9
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- - F1: 0.9068
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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 | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | 0.6821 | 1.0 | 26 | 0.6421 | 0.555 | 0.6137 |
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- | 0.5272 | 2.0 | 52 | 0.3660 | 0.83 | 0.8514 |
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- | 0.2674 | 3.0 | 78 | 0.2883 | 0.89 | 0.9000 |
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- | 0.2108 | 4.0 | 104 | 0.3474 | 0.9 | 0.9049 |
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- | 0.1665 | 5.0 | 130 | 0.3170 | 0.9 | 0.9068 |
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  ### Framework versions
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- - Transformers 4.41.1
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  - Pytorch 2.3.0+cu121
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  - Tokenizers 0.19.1
 
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  This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3395
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+ - Accuracy: 0.895
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+ - F1: 0.9025
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | 0.685 | 1.0 | 26 | 0.6479 | 0.51 | 0.5687 |
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+ | 0.5257 | 2.0 | 52 | 0.3567 | 0.845 | 0.8637 |
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+ | 0.2651 | 3.0 | 78 | 0.2971 | 0.885 | 0.8958 |
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+ | 0.1958 | 4.0 | 104 | 0.3338 | 0.9 | 0.9068 |
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+ | 0.1535 | 5.0 | 130 | 0.3395 | 0.895 | 0.9025 |
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  ### Framework versions
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+ - Transformers 4.41.2
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  - Pytorch 2.3.0+cu121
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  - Tokenizers 0.19.1
config.json CHANGED
@@ -29,7 +29,7 @@
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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": "4.41.1",
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  "type_vocab_size": 0,
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  "vocab_size": 128100
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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": "4.41.2",
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  "type_vocab_size": 0,
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  "vocab_size": 128100
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  }
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