metadata
tags:
- generated_from_trainer
model-index:
- name: sage-sun-183
results: []
sage-sun-183
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4068
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
1.8707 | 0.33 | 10000 | 1.7220 |
1.0826 | 0.66 | 20000 | 0.9204 |
0.848 | 1.0 | 30000 | 0.7144 |
0.7423 | 1.33 | 40000 | 0.6175 |
0.6723 | 1.66 | 50000 | 0.5598 |
0.6225 | 1.99 | 60000 | 0.5218 |
0.6015 | 2.32 | 70000 | 0.4942 |
0.5711 | 2.66 | 80000 | 0.4760 |
0.5607 | 2.99 | 90000 | 0.4600 |
0.5665 | 3.32 | 100000 | 0.4479 |
0.5367 | 3.65 | 110000 | 0.4394 |
0.5239 | 3.98 | 120000 | 0.4306 |
0.4998 | 4.32 | 130000 | 0.4243 |
0.5065 | 4.65 | 140000 | 0.4193 |
0.5049 | 4.98 | 150000 | 0.4138 |
0.5047 | 5.31 | 160000 | 0.4107 |
0.507 | 5.64 | 170000 | 0.4086 |
0.4996 | 5.98 | 180000 | 0.4074 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.14.5
- Tokenizers 0.13.3