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---
license: cc-by-sa-4.0
base_model: lexlms/legal-roberta-large
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: legal-roberta-large
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. -->
# legal-roberta-large
This model is a fine-tuned version of [lexlms/legal-roberta-large](https://huggingface.co/lexlms/legal-roberta-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0297
- F1: 0.4489
## 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-06
- train_batch_size: 4
- eval_batch_size: 4
- seed: 100
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 30
- num_epochs: 5
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.2471 | 0.96 | 18 | 0.8701 | 0.4711 |
| 0.1889 | 1.97 | 37 | 0.9103 | 0.4562 |
| 0.1444 | 2.99 | 56 | 0.9706 | 0.4489 |
| 0.1283 | 4.0 | 75 | 1.0204 | 0.4562 |
| 0.1411 | 4.8 | 90 | 1.0297 | 0.4489 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
|