Meta-Llama-3-8B-Instruct-Generator-logging
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 8.7282
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 8.8053 | 0.3048 | 100 | 8.7435 |
| 8.7302 | 0.6095 | 200 | 8.7357 |
| 8.7245 | 0.9143 | 300 | 8.7328 |
| 8.7318 | 1.2190 | 400 | 8.7317 |
| 8.7181 | 1.5238 | 500 | 8.7304 |
| 8.7227 | 1.8286 | 600 | 8.7295 |
| 8.724 | 2.1333 | 700 | 8.7291 |
| 8.7203 | 2.4381 | 800 | 8.7286 |
| 8.7167 | 2.7429 | 900 | 8.7282 |
Framework versions
- PEFT 0.10.0
- Transformers 4.42.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.14.7
- Tokenizers 0.19.1
- Downloads last month
- 2
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
Model tree for NanQiangHF/Meta-Llama-3-8B-Instruct-Generator-logging
Base model
meta-llama/Meta-Llama-3-8B