metadata
base_model: NousResearch/Llama-2-7b-chat-hf
tags:
- generated_from_trainer
model-index:
- name: Llama-2-7b-chat-hf-formula-peft
results: []
Llama-2-7b-chat-hf-formula-peft
This model is a fine-tuned version of NousResearch/Llama-2-7b-chat-hf on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.0978
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: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.0878 | 1.43 | 10 | 3.5298 |
| 2.7514 | 2.86 | 20 | 2.5999 |
| 1.854 | 4.29 | 30 | 2.2461 |
| 1.4716 | 5.71 | 40 | 2.1421 |
| 1.3602 | 7.14 | 50 | 2.1016 |
| 1.2029 | 8.57 | 60 | 2.0985 |
| 1.1427 | 10.0 | 70 | 2.0978 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1