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---
library_name: transformers
license: apache-2.0
base_model: google/mt5-base
tags:
- generated_from_trainer
model-index:
- name: mt5-base-finetuned-anaphora_czech
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. -->
# mt5-base-finetuned-anaphora_czech
This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0213
- Score: 28.7290
- Char Order: 6
- Word Order: 0
- Beta: 2
## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | Score | Char Order | Word Order | Beta |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:----------:|:----------:|:----:|
| 0.0604 | 1.0 | 11598 | 0.0277 | 28.6422 | 6 | 0 | 2 |
| 0.041 | 2.0 | 23196 | 0.0224 | 28.7007 | 6 | 0 | 2 |
| 0.0366 | 3.0 | 34794 | 0.0213 | 28.7290 | 6 | 0 | 2 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1