metadata
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: pretrained_model
results: []
pretrained_model
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5383
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: 0.0006
- train_batch_size: 1024
- eval_batch_size: 1024
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.95) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100000
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5377 | 0.4546 | 100000 | 0.5496 |
| 0.5313 | 0.9092 | 200000 | 0.5442 |
| 0.5307 | 1.3639 | 300000 | 0.5422 |
| 0.5282 | 1.8185 | 400000 | 0.5406 |
| 0.5266 | 2.2731 | 500000 | 0.5393 |
| 0.5248 | 2.7277 | 600000 | 0.5383 |
Framework versions
- Transformers 4.51.1
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1