metadata
library_name: transformers
license: llama3.1
base_model: meta-llama/Llama-3.1-8B
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: llama_8b_lima_43
results: []
llama_8b_lima_43
This model is a fine-tuned version of meta-llama/Llama-3.1-8B on the open_webui_dataset dataset. It achieves the following results on the evaluation set:
- Loss: 0.9357
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: 5.5e-06
- train_batch_size: 3
- eval_batch_size: 2
- seed: 66
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 5
- total_train_batch_size: 30
- total_eval_batch_size: 4
- optimizer: Use OptimizerNames.ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: polynomial
- lr_scheduler_warmup_steps: 50
- num_epochs: 1.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0422 | 0.0750 | 80 | 1.0044 |
| 0.9127 | 0.1500 | 160 | 0.9607 |
| 0.8605 | 0.2251 | 240 | 0.9440 |
| 0.9068 | 0.3001 | 320 | 0.9343 |
| 0.9147 | 0.3751 | 400 | 0.9293 |
| 1.0192 | 0.4501 | 480 | 0.9250 |
| 0.8303 | 0.5251 | 560 | 0.9192 |
| 1.0284 | 0.6002 | 640 | 0.9292 |
| 0.9183 | 0.6752 | 720 | 0.9389 |
| 0.9897 | 0.7502 | 800 | 0.9337 |
| 1.0209 | 0.8252 | 880 | 0.9390 |
| 0.9118 | 0.9002 | 960 | 0.9374 |
| 0.9077 | 0.9752 | 1040 | 0.9356 |
Framework versions
- Transformers 4.46.1
- Pytorch 2.4.0
- Datasets 3.1.0
- Tokenizers 0.20.3