metadata
library_name: peft
tags:
- llama-factory
- lora
- generated_from_trainer
base_model: meta-llama/Meta-Llama-3-8B
model-index:
- name: LLaMA3_ei_oc_mixed_train
results: []
LLaMA3_ei_oc_mixed_train
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on the emollms_ei_oc_mixed dataset. It achieves the following results on the evaluation set:
- Loss: 0.0802
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: 0.0003
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3319 | 0.3320 | 10 | 0.1265 |
| 0.113 | 0.6639 | 20 | 0.0951 |
| 0.0961 | 0.9959 | 30 | 0.0864 |
| 0.0908 | 1.3278 | 40 | 0.0838 |
| 0.0846 | 1.6598 | 50 | 0.0816 |
| 0.0806 | 1.9917 | 60 | 0.0802 |
| 0.0756 | 2.3237 | 70 | 0.0810 |
| 0.0751 | 2.6556 | 80 | 0.0805 |
| 0.0719 | 2.9876 | 90 | 0.0806 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1