metadata
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
model-index:
- name: RoBERTa_EmpDialog
results: []
RoBERTa_EmpDialog
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0009
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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1052 | 1.0 | 1198 | 0.0077 |
| 0.0124 | 2.0 | 2396 | 0.0014 |
| 0.0104 | 3.0 | 3594 | 0.0059 |
| 0.0033 | 4.0 | 4792 | 0.0012 |
| 0.0026 | 5.0 | 5990 | 0.0009 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2