metadata
library_name: transformers
tags:
- generated_from_trainer
datasets:
- arrow
model-index:
- name: results5
results: []
results5
This model is a fine-tuned version of on the arrow dataset. It achieves the following results on the evaluation set:
- Loss: 2.2934
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: 0.0001
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 256
- total_eval_batch_size: 256
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10000
- training_steps: 55177
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 6.314 | 0.0906 | 5000 | 6.2932 |
| 5.2109 | 0.1812 | 10000 | 4.9949 |
| 3.2468 | 0.2718 | 15000 | 3.0871 |
| 2.922 | 0.3625 | 20000 | 2.7691 |
| 2.7663 | 0.4531 | 25000 | 2.6115 |
| 2.6594 | 0.5437 | 30000 | 2.5044 |
| 2.5777 | 0.6343 | 35000 | 2.4308 |
| 2.5149 | 0.7249 | 40000 | 2.3741 |
| 2.4536 | 0.8155 | 45000 | 2.3367 |
| 2.4271 | 0.9062 | 50000 | 2.3103 |
| 2.4554 | 0.9968 | 55000 | 2.2934 |
Framework versions
- Transformers 4.51.0
- Pytorch 2.6.0+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0