metadata
license: mit
tags:
- generated_from_trainer
model-index:
- name: roberta-base-academic
results: []
roberta-base-academic
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.0248
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: 1e-06
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 3
- total_train_batch_size: 96
- optimizer: Adam with betas=(0.9,0.99) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 250
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
2.1562 | 0.75 | 330 | 2.0722 |
2.12 | 1.5 | 660 | 2.0430 |
2.1085 | 2.25 | 990 | 2.0428 |
2.0979 | 3.0 | 1320 | 2.0305 |
2.0859 | 3.75 | 1650 | 1.9995 |
2.0889 | 4.5 | 1980 | 2.0074 |
Framework versions
- Transformers 4.19.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.12.1