metadata
license: other
base_model: laurentiubp/CataLLaMA-v0.1.0
tags:
- generated_from_trainer
model-index:
- name: CataLLaMA-v0.1.1
results: []
CataLLaMA-v0.1.1
This model is a fine-tuned version of laurentiubp/CataLLaMA-v0.1.0 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.4608
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: 1e-05
- train_batch_size: 10
- eval_batch_size: 10
- seed: 42
- distributed_type: multi-GPU
- num_devices: 6
- total_train_batch_size: 60
- total_eval_batch_size: 60
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.5037 | 0.07 | 100 | 1.5150 |
| 1.5181 | 0.15 | 200 | 1.5097 |
| 1.4901 | 0.22 | 300 | 1.5041 |
| 1.5042 | 0.3 | 400 | 1.4980 |
| 1.494 | 0.37 | 500 | 1.4928 |
| 1.4462 | 0.45 | 600 | 1.4875 |
| 1.475 | 0.52 | 700 | 1.4822 |
| 1.4811 | 0.6 | 800 | 1.4774 |
| 1.4511 | 0.67 | 900 | 1.4730 |
| 1.4712 | 0.75 | 1000 | 1.4691 |
| 1.4531 | 0.82 | 1100 | 1.4656 |
| 1.4761 | 0.89 | 1200 | 1.4626 |
| 1.4636 | 0.97 | 1300 | 1.4608 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu118
- Datasets 2.16.1
- Tokenizers 0.15.2