metadata
tags:
- generated_from_trainer
metrics:
- recall
model-index:
- name: checkpoint-126-5ep3bsframed
results: []
checkpoint-126-5ep3bsframed
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0647
- Recall: 1.0
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: 3
- eval_batch_size: 3
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 485
Training results
| Training Loss | Epoch | Step | Validation Loss | Recall |
|---|---|---|---|---|
| 0.0083 | 0.2 | 97 | 1.7627 | 0.3385 |
| 0.0055 | 1.2 | 194 | 0.4448 | 0.8 |
| 0.1623 | 2.2 | 291 | 0.1197 | 0.9692 |
| 0.2048 | 3.2 | 388 | 0.0725 | 1.0 |
| 0.0003 | 4.2 | 485 | 0.0647 | 1.0 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.0+cu118
- Datasets 2.17.0
- Tokenizers 0.15.2