metadata
license: mit
base_model: FacebookAI/roberta-base
tags:
- generated_from_trainer
model-index:
- name: RoBERTa_EmpAI_FineTuned
results: []
RoBERTa_EmpAI_FineTuned
This model is a fine-tuned version of FacebookAI/roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0707
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-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 483 | 7.4258 |
| 12.6437 | 2.0 | 967 | 2.1112 |
| 4.9019 | 3.0 | 1450 | 0.0872 |
| 0.4036 | 4.0 | 1934 | 0.0765 |
| 0.0802 | 4.99 | 2415 | 0.0754 |
| 0.0737 | 6.0 | 2898 | 0.0708 |
| 0.0749 | 7.0 | 3382 | 0.0705 |
| 0.0712 | 8.0 | 3865 | 0.0702 |
| 0.0708 | 9.0 | 4349 | 0.0692 |
| 0.0698 | 9.99 | 4830 | 0.0696 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2