File size: 1,201 Bytes
859f350 f71ea07 5c6a92e f71ea07 c5ab7db f71ea07 1abfe88 |
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 |
---
datasets:
- shay681/Legal_Clauses
language:
- he
base_model:
- google/mt5-small
pipeline_tag: text2text-generation
---
# Text2Text Legal Clauses Finetuned Model
This model fine-tunes [google/mt5-small](https://huggingface.co/google/mt5-small) model on [shay681/Legal_Clauses dataset](https://huggingface.co/datasets/shay681/Legal_Clauses) dataset.
## Training and evaluation data
| Dataset | Split | # samples |
| -------- | ----- | --------- |
| Legal_Clauses | train | 147,946 |
| Legal_Clauses | validation | 36,987 |
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- evaluation_strategy: "epoch"
- learning_rate: 5e-5
- train_batch_size: 4
- eval_batch_size: 4
- num_train_epochs: 5
- weight_decay: 0.01
### Framework versions
- Transformers 4.17.0
- Pytorch 1.10.0+cu111
- Datasets 1.18.4
- Tokenizers 0.11.6
### Results
| Metric | # Value |
| ------ | --------- |
| **Accuracy** | **0.87** |
| **F1** | **0.64** |
### About Me
Created by Shay Doner.
This is my final project as part of intelligent systems M.Sc studies at Afeka College in Tel-Aviv.
For more cooperation, please contact email:
[email protected] |