metadata
license: mit
base_model: mikhail-panzo/fil_enhanced_checkpoint
tags:
- generated_from_trainer
model-index:
- name: ceb_full_checkpoint
results: []
ceb_full_checkpoint
This model is a fine-tuned version of mikhail-panzo/fil_enhanced_checkpoint on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3917
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: 1e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4492 | 19.23 | 500 | 0.4096 |
| 0.429 | 38.46 | 1000 | 0.3978 |
| 0.4188 | 57.69 | 1500 | 0.3947 |
| 0.4142 | 76.92 | 2000 | 0.3921 |
| 0.4105 | 96.15 | 2500 | 0.3921 |
| 0.4081 | 115.38 | 3000 | 0.3914 |
| 0.4107 | 134.62 | 3500 | 0.3906 |
| 0.406 | 153.85 | 4000 | 0.3917 |
Framework versions
- Transformers 4.40.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2