metadata
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: model14-finetuned-SLT-subset
results: []
model14-finetuned-SLT-subset
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.5821
- Accuracy: 0.0
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: 2
- eval_batch_size: 2
- 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: 177
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 3.9073 | 0.3333 | 59 | 3.7070 | 0.05 |
| 3.8434 | 1.3333 | 118 | 3.6543 | 0.05 |
| 3.6998 | 2.3333 | 177 | 3.6432 | 0.05 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.1.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1