metadata
tags:
- generated_from_trainer
model-index:
- name: my_run
results: []
my_run
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 6.4043
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: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 128
- total_eval_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 1000000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 7.1589 | 1.81 | 50000 | 6.8011 |
| 6.7421 | 3.62 | 100000 | 6.6767 |
| 6.6503 | 5.42 | 150000 | 6.6086 |
| 6.5951 | 7.23 | 200000 | 6.5605 |
| 6.5566 | 9.04 | 250000 | 6.5271 |
| 6.5292 | 10.85 | 300000 | 6.5037 |
| 6.5069 | 12.65 | 350000 | 6.4839 |
| 6.49 | 14.46 | 400000 | 6.4667 |
| 6.4759 | 16.27 | 450000 | 6.4552 |
| 6.4648 | 18.08 | 500000 | 6.4442 |
| 6.4551 | 19.88 | 550000 | 6.4365 |
| 6.4475 | 21.69 | 600000 | 6.4278 |
| 6.4412 | 23.5 | 650000 | 6.4222 |
| 6.4358 | 25.31 | 700000 | 6.4185 |
| 6.4313 | 27.11 | 750000 | 6.4134 |
| 6.4275 | 28.92 | 800000 | 6.4110 |
| 6.425 | 30.73 | 850000 | 6.4079 |
| 6.4229 | 32.54 | 900000 | 6.4063 |
| 6.4218 | 34.35 | 950000 | 6.4047 |
| 6.4204 | 36.15 | 1000000 | 6.4043 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.3.0a0+ebedce2
- Datasets 2.17.1
- Tokenizers 0.15.2