metadata
tags:
- generated_from_trainer
model-index:
- name: BERT2BERT_try
results: []
BERT2BERT_try
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0150
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2457 | 0.08 | 50 | 0.0349 |
| 0.0445 | 0.16 | 100 | 0.0297 |
| 0.0339 | 0.24 | 150 | 0.0214 |
| 0.0234 | 0.31 | 200 | 0.0221 |
| 0.0193 | 0.39 | 250 | 0.0211 |
| 0.027 | 0.47 | 300 | 0.0172 |
| 0.0199 | 0.55 | 350 | 0.0176 |
| 0.021 | 0.63 | 400 | 0.0162 |
| 0.0231 | 0.71 | 450 | 0.0164 |
| 0.021 | 0.79 | 500 | 0.0152 |
| 0.0235 | 0.86 | 550 | 0.0149 |
| 0.0178 | 0.94 | 600 | 0.0150 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2