metadata
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: meta-llama/Llama-2-70b-chat-hf
model-index:
- name: output
results: []
output
This model is a fine-tuned version of meta-llama/Llama-2-70b-chat-hf on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3387
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.3
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.7334 | 0.29 | 1 | 1.5084 |
| 1.7705 | 0.57 | 2 | 1.4977 |
| 1.7433 | 0.86 | 3 | 1.4736 |
| 1.6862 | 1.14 | 4 | 1.4434 |
| 1.6562 | 1.43 | 5 | 1.4161 |
| 1.615 | 1.71 | 6 | 1.3948 |
| 1.6227 | 2.0 | 7 | 1.3813 |
| 1.5609 | 2.29 | 8 | 1.3706 |
| 1.619 | 2.57 | 9 | 1.3603 |
| 1.5298 | 2.86 | 10 | 1.3511 |
| 1.4428 | 3.14 | 11 | 1.3437 |
| 1.5641 | 3.43 | 12 | 1.3387 |
Framework versions
- PEFT 0.8.2
- Transformers 4.38.1
- Pytorch 2.2.1
- Datasets 2.17.1
- Tokenizers 0.15.2