metadata
library_name: transformers
license: mit
base_model: mateiaassAI/teacher_sst2
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
- precision
- recall
model-index:
- name: teacher_sst2_redv2
results: []
teacher_sst2_redv2
This model is a fine-tuned version of mateiaassAI/teacher_sst2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2390
- F1: 0.6897
- Roc Auc: 0.7984
- Accuracy: 0.5893
- Precision: 0.7488
- Recall: 0.6476
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: 1.7e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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 | F1 | Roc Auc | Accuracy | Precision | Recall |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 256 | 0.2659 | 0.5655 | 0.7202 | 0.4530 | 0.8249 | 0.4698 |
| 0.2931 | 2.0 | 512 | 0.2460 | 0.6641 | 0.7856 | 0.5635 | 0.7677 | 0.6101 |
| 0.2931 | 3.0 | 768 | 0.2398 | 0.6791 | 0.7926 | 0.5764 | 0.7468 | 0.6330 |
| 0.1701 | 4.0 | 1024 | 0.2390 | 0.6897 | 0.7984 | 0.5893 | 0.7488 | 0.6476 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0