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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: google/mt5-small |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: mt5-small-finetuned-anaphora_czech |
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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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# mt5-small-finetuned-anaphora_czech |
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5256 |
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- Score: 43.6341 |
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- Char Order: 6 |
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- Word Order: 0 |
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- Beta: 2 |
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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: 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 | Score | Char Order | Word Order | Beta | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:----------:|:----------:|:----:| |
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| 1.2999 | 1.0 | 2105 | 0.7759 | 36.9398 | 6 | 0 | 2 | |
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| 0.87 | 2.0 | 4210 | 0.5735 | 41.0183 | 6 | 0 | 2 | |
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| 0.7796 | 3.0 | 6315 | 0.5256 | 43.6341 | 6 | 0 | 2 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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