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End of training

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  1. README.md +13 -13
  2. model.safetensors +1 -1
README.md CHANGED
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  ---
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- license: mit
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- base_model: FacebookAI/xlm-roberta-base
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  tags:
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  - generated_from_trainer
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  metrics:
@@ -15,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # CRAB_bert_base_uncased_finetuned
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- This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.0546
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- - F1: 0.7458
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  ## Model description
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@@ -49,14 +49,14 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:-----:|:---------------:|:------:|
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- | 1.3051 | 1.0 | 2880 | 1.1026 | 0.6806 |
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- | 1.2109 | 2.0 | 5760 | 0.9714 | 0.6875 |
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- | 0.8555 | 3.0 | 8640 | 0.8631 | 0.7306 |
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- | 0.7885 | 4.0 | 11520 | 0.8580 | 0.7472 |
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- | 0.7837 | 5.0 | 14400 | 0.9299 | 0.7458 |
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- | 0.8095 | 6.0 | 17280 | 0.9135 | 0.7431 |
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- | 0.9134 | 7.0 | 20160 | 1.0100 | 0.7431 |
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- | 0.7924 | 8.0 | 23040 | 1.0546 | 0.7458 |
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  ### Framework versions
 
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  ---
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+ license: apache-2.0
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+ base_model: bert-base-uncased
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  # CRAB_bert_base_uncased_finetuned
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+ This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.0100
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+ - F1: 0.7250
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:-----:|:---------------:|:------:|
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+ | 1.0219 | 1.0 | 2880 | 1.0762 | 0.6806 |
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+ | 0.8456 | 2.0 | 5760 | 0.9188 | 0.6986 |
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+ | 0.8018 | 3.0 | 8640 | 1.0030 | 0.7264 |
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+ | 0.7287 | 4.0 | 11520 | 0.9955 | 0.7181 |
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+ | 0.69 | 5.0 | 14400 | 1.0546 | 0.7167 |
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+ | 0.7155 | 6.0 | 17280 | 1.0075 | 0.7208 |
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+ | 0.6945 | 7.0 | 20160 | 0.9942 | 0.7208 |
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+ | 0.7096 | 8.0 | 23040 | 1.0100 | 0.7250 |
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  ### Framework versions
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