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: 3.6730
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 |
|---|---|---|---|
| 4.0108 | 0.08 | 5000 | 3.9854 |
| 3.8815 | 0.16 | 10000 | 3.8573 |
| 3.8252 | 0.24 | 15000 | 3.8052 |
| 3.829 | 0.32 | 20000 | 3.7989 |
| 3.8178 | 0.4 | 25000 | 3.7986 |
| 3.7996 | 0.48 | 30000 | 3.7762 |
| 3.7922 | 0.56 | 35000 | 3.7717 |
| 3.7963 | 0.64 | 40000 | 3.7611 |
| 3.7796 | 0.72 | 45000 | 3.7490 |
| 3.784 | 0.8 | 50000 | 3.7419 |
| 3.7602 | 0.88 | 55000 | 3.7324 |
| 3.7128 | 0.96 | 60000 | 3.6730 |
Framework versions
- Transformers 4.57.0.dev0
- Pytorch 2.8.0+cu129
- Datasets 3.6.0
- Tokenizers 0.22.1