my_llama7B_100_r32_final
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.6388
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: 0.0002
- train_batch_size: 4
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 100
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.8702 | 0.03 | 20 | 1.6975 |
| 1.7229 | 0.06 | 40 | 1.6547 |
| 1.6724 | 0.1 | 60 | 1.6480 |
| 1.6754 | 0.13 | 80 | 1.6411 |
| 1.6747 | 0.16 | 100 | 1.6388 |
Framework versions
- PEFT 0.11.1
- Transformers 4.37.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
- Downloads last month
- 0
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
HF Inference API was unable to determine this model’s pipeline type.
Model tree for agutell/my_llama7B_100_r32_final
Base model
meta-llama/Llama-2-7b-hf