commit the trained model

.gitattributes

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 *.zst filter=lfs diff=lfs merge=lfs -text
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+tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md

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+---
+license: mit
+base_model: xlm-roberta-large
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: clarifier-good-name-xlm-roberta
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# clarifier-good-name-xlm-roberta
+
+This model is a fine-tuned version of [xlm-roberta-large](https://huggingface.co/xlm-roberta-large) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3007
+- F1: 0.8746
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.2794        | 1.0   | 553  | 0.2373          | 0.8460 |
+| 0.208         | 2.0   | 1106 | 0.2176          | 0.8585 |
+| 0.1915        | 3.0   | 1659 | 0.2057          | 0.8542 |
+| 0.1662        | 4.0   | 2212 | 0.2216          | 0.8635 |
+| 0.1472        | 5.0   | 2765 | 0.2160          | 0.8709 |
+| 0.132         | 6.0   | 3318 | 0.2297          | 0.8703 |
+| 0.1255        | 7.0   | 3871 | 0.2617          | 0.8709 |
+| 0.1162        | 8.0   | 4424 | 0.2973          | 0.8738 |
+| 0.1036        | 9.0   | 4977 | 0.2818          | 0.8713 |
+| 0.1           | 10.0  | 5530 | 0.3007          | 0.8746 |
+
+
+### Framework versions
+
+- Transformers 4.32.0.dev0
+- Pytorch 2.0.0
+- Datasets 2.14.0
+- Tokenizers 0.13.3

all_results.json

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config.json

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