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_42
results: []
llama_8b_lima_42
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: 0.9014
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: 5e-06
- train_batch_size: 3
- eval_batch_size: 2
- seed: 66
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 6
- total_train_batch_size: 36
- 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 |
|---|---|---|---|
| 1.0356 | 0.0686 | 80 | 0.9711 |
| 1.0348 | 0.1372 | 160 | 0.9355 |
| 0.7212 | 0.2058 | 240 | 0.9225 |
| 0.8077 | 0.2744 | 320 | 0.9142 |
| 0.8442 | 0.3430 | 400 | 0.9068 |
| 0.831 | 0.4116 | 480 | 0.9032 |
| 0.9696 | 0.4802 | 560 | 0.8975 |
| 0.9949 | 0.5488 | 640 | 0.8972 |
| 0.8154 | 0.6174 | 720 | 0.8948 |
| 0.9682 | 0.6860 | 800 | 0.8931 |
| 0.9491 | 0.7546 | 880 | 0.9030 |
| 1.068 | 0.8232 | 960 | 0.9022 |
| 1.06 | 0.8918 | 1040 | 0.9013 |
| 0.8302 | 0.9604 | 1120 | 0.9002 |
Framework versions
- Transformers 4.46.1
- Pytorch 2.4.0
- Datasets 3.1.0
- Tokenizers 0.20.3