|
--- |
|
library_name: transformers |
|
license: apache-2.0 |
|
base_model: google/mt5-small |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: mt5-small-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-small-finetuned-anaphora_czech |
|
|
|
This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.0560 |
|
- Score: 28.8160 |
|
- 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: 2 |
|
- eval_batch_size: 2 |
|
- 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 | |
|
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:----------:|:----------:|:----:| |
|
| 0.1671 | 1.0 | 23181 | 0.0741 | 28.6976 | 6 | 0 | 2 | |
|
| 0.1169 | 2.0 | 46362 | 0.0598 | 28.7935 | 6 | 0 | 2 | |
|
| 0.1072 | 3.0 | 69543 | 0.0560 | 28.8160 | 6 | 0 | 2 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.44.2 |
|
- Pytorch 2.4.1+cu121 |
|
- Datasets 2.21.0 |
|
- Tokenizers 0.19.1 |
|
|
