metadata
license: mit
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: source-type-model
results: []
source-type-model
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7162
- F1: 0.4315
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: 5e-05
- train_batch_size: 5
- eval_batch_size: 5
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 0.12 | 100 | 1.3490 | 0.0956 |
| No log | 0.25 | 200 | 1.4751 | 0.0956 |
| No log | 0.37 | 300 | 0.9687 | 0.2427 |
| No log | 0.49 | 400 | 1.0625 | 0.1891 |
| 1.2336 | 0.62 | 500 | 1.0954 | 0.1949 |
| 1.2336 | 0.74 | 600 | 0.9969 | 0.3080 |
| 1.2336 | 0.86 | 700 | 0.9171 | 0.3175 |
| 1.2336 | 0.99 | 800 | 0.9600 | 0.3136 |
| 1.2336 | 1.11 | 900 | 0.9637 | 0.3161 |
| 1.0269 | 1.23 | 1000 | 0.9592 | 0.3257 |
| 1.0269 | 1.35 | 1100 | 0.9117 | 0.3342 |
| 1.0269 | 1.48 | 1200 | 0.8891 | 0.3205 |
| 1.0269 | 1.6 | 1300 | 0.8136 | 0.3375 |
| 1.0269 | 1.72 | 1400 | 0.9676 | 0.3300 |
| 0.8592 | 1.85 | 1500 | 0.8778 | 0.3316 |
| 0.8592 | 1.97 | 1600 | 0.8407 | 0.3379 |
| 0.8592 | 2.09 | 1700 | 0.8409 | 0.3369 |
| 0.8592 | 2.22 | 1800 | 0.8818 | 0.3343 |
| 0.8592 | 2.34 | 1900 | 0.9259 | 0.3386 |
| 0.7521 | 2.46 | 2000 | 0.9419 | 0.3380 |
| 0.7521 | 2.59 | 2100 | 0.8050 | 0.3474 |
| 0.7521 | 2.71 | 2200 | 0.7773 | 0.4053 |
| 0.7521 | 2.83 | 2300 | 0.7114 | 0.4337 |
| 0.7521 | 2.96 | 2400 | 0.7162 | 0.4315 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3