End of training
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README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: cis-lmu/glot500-base
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tags:
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- generated_from_trainer
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metrics:
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- precision
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- recall
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- f1
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- accuracy
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model-index:
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- name: glot500-word-dropout-0.1-fr-ca
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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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# glot500-word-dropout-0.1-fr-ca
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This model is a fine-tuned version of [cis-lmu/glot500-base](https://huggingface.co/cis-lmu/glot500-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.8141
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- Precision: 0.2514
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- Recall: 0.1056
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- F1: 0.1487
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- Accuracy: 0.3548
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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: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 2
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| 2.2926 | 1.0 | 625 | 1.9717 | 0.2099 | 0.0805 | 0.1164 | 0.3179 |
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| 1.9299 | 2.0 | 1250 | 1.8141 | 0.2514 | 0.1056 | 0.1487 | 0.3548 |
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### Framework versions
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- Transformers 4.48.3
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- Pytorch 2.5.1+cu124
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- Datasets 3.3.0
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- Tokenizers 0.21.0
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runs/Feb16_16-21-03_fe604547457b/events.out.tfevents.1739722871.fe604547457b.699.1
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version https://git-lfs.github.com/spec/v1
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size
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version https://git-lfs.github.com/spec/v1
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size 7389
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