metadata
license: mit
base_model: mikhail-panzo/fil_weak_checkpoint
tags:
- generated_from_trainer
model-index:
- name: test_ceb_checkpoint
results: []
test_ceb_checkpoint
This model is a fine-tuned version of mikhail-panzo/fil_weak_checkpoint on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4459
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: 0.0004
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 20
- training_steps: 50
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
No log | 2.78 | 25 | 0.4857 |
0.5369 | 5.56 | 50 | 0.4459 |
Framework versions
- Transformers 4.39.0.dev0
- Pytorch 2.2.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2