metadata
library_name: transformers
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
model-index:
- name: Ms_Marcoasksciencemodeling
results: []
Ms_Marcoasksciencemodeling
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4125
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
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.927 | 1.0 | 2000 | 0.8240 |
| 0.7677 | 2.0 | 4000 | 0.6698 |
| 0.6902 | 3.0 | 6000 | 0.5840 |
| 0.6021 | 4.0 | 8000 | 0.5648 |
| 0.5112 | 5.0 | 10000 | 0.5046 |
| 0.5298 | 6.0 | 12000 | 0.4691 |
| 0.5111 | 7.0 | 14000 | 0.4506 |
| 0.4814 | 8.0 | 16000 | 0.4343 |
| 0.4725 | 9.0 | 18000 | 0.4140 |
| 0.4238 | 10.0 | 20000 | 0.4214 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3