End of training

README.md

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+---
+license: mit
+base_model: xlm-roberta-base
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: SEMEVAL23_TASK3_SUBTASK1_MULTI
+  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. -->
+
+# SEMEVAL23_TASK3_SUBTASK1_MULTI
+
+This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7001
+- F1: 0.6657
+
+## 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: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- 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     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.834         | 1.0   | 160  | 1.0521          | 0.3659 |
+| 0.1947        | 2.0   | 320  | 0.8869          | 0.5581 |
+| 1.2275        | 3.0   | 480  | 0.8091          | 0.6190 |
+| 0.0098        | 4.0   | 640  | 0.6704          | 0.6538 |
+| 2.6387        | 5.0   | 800  | 0.7001          | 0.6657 |
+| 0.0077        | 6.0   | 960  | 1.2344          | 0.6278 |
+| 0.0104        | 7.0   | 1120 | 1.3100          | 0.6379 |
+| 0.0007        | 8.0   | 1280 | 1.6961          | 0.5974 |
+| 0.0019        | 9.0   | 1440 | 1.4126          | 0.6530 |
+| 0.0191        | 10.0  | 1600 | 1.4652          | 0.6444 |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.0
+- Tokenizers 0.13.3

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