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ARC4N3
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experiment-model-bertweet

Text Classification
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roberta
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  1. README.md +7 -7
  2. model.safetensors +1 -1
  3. runs/Mar05_12-54-59_34334bcdfcbe/events.out.tfevents.1709643313.34334bcdfcbe.1172.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [finiteautomata/bertweet-base-sentiment-analysis](https://huggingface.co/finiteautomata/bertweet-base-sentiment-analysis) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5974
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- - Accuracy: 0.8269
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  ## Model description
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@@ -50,11 +50,11 @@ 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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- | 0.3434 | 1.0 | 884 | 0.3707 | 0.8314 |
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- | 0.3057 | 2.0 | 1768 | 0.3915 | 0.8445 |
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- | 0.2693 | 3.0 | 2652 | 0.4510 | 0.8309 |
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- | 0.1861 | 4.0 | 3536 | 0.4873 | 0.8357 |
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- | 0.1447 | 5.0 | 4420 | 0.5974 | 0.8269 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [finiteautomata/bertweet-base-sentiment-analysis](https://huggingface.co/finiteautomata/bertweet-base-sentiment-analysis) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6847
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+ - Accuracy: 0.8306
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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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+ | 0.3532 | 1.0 | 760 | 0.3454 | 0.8453 |
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+ | 0.2907 | 2.0 | 1521 | 0.3672 | 0.8465 |
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+ | 0.2568 | 3.0 | 2281 | 0.4530 | 0.8393 |
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+ | 0.2054 | 4.0 | 3042 | 0.5747 | 0.8369 |
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+ | 0.1495 | 5.0 | 3800 | 0.6847 | 0.8306 |
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  ### Framework versions
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