metadata
license: cc-by-nc-4.0
base_model: NeverSleep/Nethena-20B
tags:
- generated_from_trainer
model-index:
- name: lora-outA
results: []
lora-outA
This model is a fine-tuned version of NeverSleep/Nethena-20B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3864
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 5
- total_train_batch_size: 20
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.955 | 0.38 | 25 | 1.9037 |
| 1.6598 | 0.75 | 50 | 1.6192 |
| 1.5649 | 1.13 | 75 | 1.5010 |
| 1.4424 | 1.5 | 100 | 1.4424 |
| 1.4142 | 1.88 | 125 | 1.4068 |
| 1.4951 | 2.25 | 150 | 1.3908 |
| 1.4418 | 2.63 | 175 | 1.3864 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1