<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
text_analyzer_albert-new
This model is a fine-tuned version of /home/antonio/code/trainer-latest/text.analyzer.trainer/src/resource/model/config.json on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.2244
- Accuracy: 0.3102
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: 0.1
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
40.2279 | 1.0 | 860 | 73.8464 | 0.3102 |
39.7449 | 2.0 | 1720 | 18.3146 | 0.3611 |
20.2884 | 3.0 | 2580 | 13.5320 | 0.3102 |
10.9941 | 4.0 | 3440 | 2.2244 | 0.3102 |
Framework versions
- Transformers 4.29.1
- Pytorch 1.13.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3