metadata
tags:
- generated_from_trainer
model-index:
- name: out_3
results: []
out_3
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6039
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-06
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 150
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9036 | 0.0 | 1 | 0.8492 |
| 0.6255 | 0.07 | 79 | 0.6767 |
| 0.6044 | 0.13 | 158 | 0.6644 |
| 0.671 | 0.2 | 237 | 0.6563 |
| 0.6385 | 0.27 | 316 | 0.6504 |
| 0.6546 | 0.33 | 395 | 0.6428 |
| 0.6005 | 0.4 | 474 | 0.6368 |
| 0.5888 | 0.47 | 553 | 0.6311 |
| 0.6194 | 0.53 | 632 | 0.6251 |
| 0.6163 | 0.6 | 711 | 0.6197 |
| 0.5947 | 0.67 | 790 | 0.6152 |
| 0.6138 | 0.73 | 869 | 0.6102 |
| 0.6154 | 0.8 | 948 | 0.6071 |
| 0.6333 | 0.87 | 1027 | 0.6051 |
| 0.6063 | 0.93 | 1106 | 0.6041 |
| 0.5804 | 1.0 | 1185 | 0.6039 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.0.1
- Datasets 2.16.1
- Tokenizers 0.15.0