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Model save

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  1. README.md +18 -1
  2. model.safetensors +1 -1
README.md CHANGED
@@ -3,6 +3,8 @@ license: mit
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  base_model: microsoft/deberta-v3-large
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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  - name: opus-em-deberta-3-large-v2
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  results: []
@@ -14,6 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # opus-em-deberta-3-large-v2
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  This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large) on an unknown dataset.
 
 
 
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  ## Model description
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@@ -42,11 +47,23 @@ The following hyperparameters were used during training:
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  - total_train_batch_size: 32
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  - total_eval_batch_size: 64
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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: 10.0
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  ### Training results
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  ### Framework versions
 
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  base_model: microsoft/deberta-v3-large
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  tags:
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  - generated_from_trainer
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+ metrics:
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+ - f1
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  model-index:
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  - name: opus-em-deberta-3-large-v2
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  results: []
 
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  # opus-em-deberta-3-large-v2
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  This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 4.4267
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+ - F1: 0.1942
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  ## Model description
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  - total_train_batch_size: 32
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  - total_eval_batch_size: 64
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: cosine
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  - num_epochs: 10.0
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 1.2929 | 1.0 | 179 | 13.4522 | 0.1942 |
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+ | 0.1541 | 2.0 | 359 | 8.4684 | 0.1942 |
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+ | 0.1257 | 3.0 | 538 | 7.6370 | 0.1942 |
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+ | 0.1684 | 4.0 | 718 | 0.7054 | 0.6376 |
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+ | 0.0911 | 5.0 | 897 | 5.1195 | 0.1942 |
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+ | 0.145 | 6.0 | 1077 | 0.2694 | 0.7984 |
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+ | 0.1191 | 7.0 | 1256 | 2.9415 | 0.2027 |
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+ | 0.1008 | 8.0 | 1436 | 0.1785 | 0.9023 |
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+ | 0.0231 | 9.0 | 1615 | 8.5722 | 0.1942 |
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+ | 0.0521 | 9.97 | 1790 | 4.4267 | 0.1942 |
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  ### Framework versions
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