metadata
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: NeoLLM
results: []
NeoLLM
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.3235
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.901 | 0.064 | 5000 | 3.8367 |
| 3.6772 | 0.128 | 10000 | 3.6281 |
| 3.5953 | 0.192 | 15000 | 3.5480 |
| 3.5516 | 0.256 | 20000 | 3.5038 |
| 3.5219 | 0.32 | 25000 | 3.4746 |
| 3.5077 | 0.384 | 30000 | 3.4526 |
| 3.4891 | 0.448 | 35000 | 3.4360 |
| 3.4705 | 0.512 | 40000 | 3.4208 |
| 3.464 | 0.576 | 45000 | 3.4114 |
| 3.4546 | 0.64 | 50000 | 3.3989 |
| 3.4452 | 0.704 | 55000 | 3.3886 |
| 3.4383 | 0.768 | 60000 | 3.3772 |
| 3.4148 | 0.832 | 65000 | 3.3581 |
| 3.3919 | 0.896 | 70000 | 3.3376 |
| 3.3815 | 0.96 | 75000 | 3.3235 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.8.0+cu128
- Datasets 4.4.2
- Tokenizers 0.22.2