Training completed!
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README.md
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---
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license: mit
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base_model: xlm-roberta-base
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tags:
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- generated_from_trainer
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metrics:
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- f1
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model-index:
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- name: xlm-roberta-base-fintuned-panx-de_ver2-23072024
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/trinhhuynhthinhkhang-open-university/huggingface/runs/338ta8m9)
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# xlm-roberta-base-fintuned-panx-de_ver2-23072024
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/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: 0.1358
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- F1: 1.0
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 64
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:---:|
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| No log | 1.0 | 197 | 0.1645 | 1.0 |
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| 0.2252 | 2.0 | 394 | 0.1394 | 1.0 |
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| 0.2252 | 3.0 | 591 | 0.1358 | 1.0 |
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### Framework versions
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- Transformers 4.42.3
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- Pytorch 2.1.2
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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runs/Jul26_13-09-19_8a71e16beedd/events.out.tfevents.1721999561.8a71e16beedd.34.1
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size
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size 6763
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