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roberta-base_disaster_tweets

Text Classification
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End of training

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  1. README.md +9 -9
  2. logs/events.out.tfevents.1719503487.cb48a99e58cd.571.0 +3 -0
  3. logs/events.out.tfevents.1719503937.cb48a99e58cd.571.1 +3 -0
  4. model.safetensors +1 -1
  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 [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5662
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- - Accuracy: 0.8376
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- - F1: 0.8363
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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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- | 0.4346 | 1.0 | 667 | 0.4044 | 0.8192 | 0.8190 |
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- | 0.5775 | 2.0 | 1334 | 0.4904 | 0.8222 | 0.8220 |
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- | 0.3408 | 3.0 | 2001 | 0.5864 | 0.8341 | 0.8332 |
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  ### Framework versions
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- - Transformers 4.41.0
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- - Pytorch 2.2.1+cu121
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- - Datasets 2.19.1
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  - Tokenizers 0.19.1
 
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  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4171
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+ - Accuracy: 0.8259
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+ - F1: 0.8230
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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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+ | 0.3974 | 1.0 | 667 | 0.4099 | 0.8332 | 0.8313 |
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+ | 0.572 | 2.0 | 1334 | 0.4832 | 0.8218 | 0.8216 |
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+ | 0.4978 | 3.0 | 2001 | 0.5946 | 0.8306 | 0.8302 |
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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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+ - Datasets 2.20.0
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  - Tokenizers 0.19.1
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