metadata
tags:
- generated_from_trainer
model-index:
- name: fluent-voice-180
results: []
fluent-voice-180
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.1061
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: 0.001
- 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 |
|---|---|---|---|
| 3.1534 | 0.33 | 10000 | 3.1493 |
| 3.1556 | 0.66 | 20000 | 3.1477 |
| 3.1477 | 1.0 | 30000 | 3.1534 |
| 3.1521 | 1.33 | 40000 | 3.1523 |
| 3.1576 | 1.66 | 50000 | 3.1556 |
| 3.1421 | 1.99 | 60000 | 3.1526 |
| 3.146 | 2.32 | 70000 | 3.1553 |
| 3.1529 | 2.66 | 80000 | 3.1521 |
| 3.1514 | 2.99 | 90000 | 3.1486 |
| 3.1542 | 3.32 | 100000 | 3.1452 |
| 3.1439 | 3.65 | 110000 | 3.1384 |
| 3.1335 | 3.98 | 120000 | 3.1305 |
| 3.1192 | 4.32 | 130000 | 3.1266 |
| 3.1194 | 4.65 | 140000 | 3.1195 |
| 3.1229 | 4.98 | 150000 | 3.1132 |
| 3.1114 | 5.31 | 160000 | 3.1095 |
| 3.1128 | 5.64 | 170000 | 3.1063 |
| 3.1124 | 5.98 | 180000 | 3.1061 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.14.5
- Tokenizers 0.13.3