metadata
license: mit
base_model: FacebookAI/roberta-base
tags:
- generated_from_trainer
model-index:
- name: roberta-base
results: []
roberta-base
This model is a fine-tuned version of FacebookAI/roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3745
- Icm: -0.0196
- Icmnorm: 0.4901
- Fmeasure: 0.6565
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: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Icm | Icmnorm | Fmeasure |
|---|---|---|---|---|---|---|
| 0.6233 | 1.0 | 771 | 0.6371 | -0.0341 | 0.4827 | 0.6416 |
| 0.4026 | 2.0 | 1542 | 0.8523 | -0.1320 | 0.4330 | 0.5968 |
| 0.2684 | 3.0 | 2313 | 1.3745 | -0.0196 | 0.4901 | 0.6565 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2