metadata
tags:
- generated_from_trainer
model-index:
- name: mlm
results: []
mlm
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.5428
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: 0.0001
- train_batch_size: 64
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 200
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.9959 | 10.87 | 500 | 5.4385 |
| 4.974 | 21.74 | 1000 | 5.0920 |
| 4.2917 | 32.61 | 1500 | 4.7598 |
| 3.7303 | 43.48 | 2000 | 4.4384 |
| 3.2166 | 54.35 | 2500 | 4.3718 |
| 2.7673 | 65.22 | 3000 | 4.3775 |
| 2.3727 | 76.09 | 3500 | 4.4200 |
| 2.029 | 86.96 | 4000 | 4.5428 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0