metadata
license: llama2
base_model: meta-llama/Llama-2-7b-chat-hf
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: prec_240807_llama2
results: []
prec_240807_llama2
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the perception_240723 dataset. It achieves the following results on the evaluation set:
- Loss: 0.8686
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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- total_eval_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9956 | 0.1111 | 50 | 0.9926 |
| 0.9989 | 0.2222 | 100 | 0.9736 |
| 0.9373 | 0.3333 | 150 | 0.9539 |
| 1.0155 | 0.4444 | 200 | 0.9442 |
| 0.9273 | 0.5556 | 250 | 0.9123 |
| 0.8789 | 0.6667 | 300 | 0.8964 |
| 0.871 | 0.7778 | 350 | 0.8800 |
| 0.8756 | 0.8889 | 400 | 0.8700 |
| 0.9423 | 1.0 | 450 | 0.8686 |
Framework versions
- Transformers 4.43.3
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1