metadata
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
model-index:
- name: New_RoBERTa_EmpAI_final
results: []
New_RoBERTa_EmpAI_final
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1233
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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10000
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.4436 | 1.0 | 749 | 1.1949 |
| 1.2945 | 2.0 | 1499 | 1.0986 |
| 1.2108 | 3.0 | 2249 | 1.0954 |
| 1.1807 | 4.0 | 2999 | 1.1169 |
| 1.1435 | 4.99 | 3745 | 1.1233 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2