File size: 1,574 Bytes
926472a 6221a73 926472a 1a12a21 926472a 791196e 926472a beb72f6 926472a 7f7ff8a 926472a 8c66b65 926472a f1cc042 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 |
---
library_name: transformers
license: apache-2.0
language:
- hu
base_model:
- google/mt5-large
---
# Model Card for mT5-large-HuAMR
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This model is a fine-tuned version of [google/mt5-large](https://huggingface.co/mt5-large) on the translated AMR 3.0 and HuAMR dataset. It achieves the following results on the evaluation set:
- **Model type:** Abstract Meaning Representation parser
- **Language(s) (NLP):** Hungarian
### Model Sources [optional]
<!-- Provide the basic links for the model. -->
- **Repository:** [GitHub Repo](https://github.com/botondbarta/HuAMR)
## Training Details
### Training Procedure
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
#### Training Hyperparameters
- learning_rate: 5e-05
- train_batch_size: 1
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: AdamW
- lr_scheduler_type: linear
- max_grad_norm: 0.3
#### Metrics
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
[More Information Needed]
## Citation [optional]
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
## Framework versions
- Transformers 4.34.1
- Pytorch 2.3.0+cu118
- Datasets 2.19.0
- Tokenizers 0.19.1 |