metadata
library_name: peft
license: llama2
base_model: meta-llama/Llama-2-7b-chat-hf
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: llama-2-7b-chat-hf-gsm8k-bs32-sharegpt
results: []
llama-2-7b-chat-hf-gsm8k-bs32-sharegpt
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7306
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: 0.0001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 32
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.8458 | 0.4274 | 100 | 0.8449 |
| 0.8417 | 0.8547 | 200 | 0.7988 |
| 0.8234 | 1.2821 | 300 | 0.7797 |
| 0.7774 | 1.7094 | 400 | 0.7670 |
| 0.72 | 2.1368 | 500 | 0.7575 |
| 0.7188 | 2.5641 | 600 | 0.7498 |
| 0.8102 | 2.9915 | 700 | 0.7438 |
| 0.7295 | 3.4188 | 800 | 0.7392 |
| 0.7591 | 3.8462 | 900 | 0.7351 |
| 0.7615 | 4.2735 | 1000 | 0.7323 |
| 0.7084 | 4.7009 | 1100 | 0.7306 |
Framework versions
- PEFT 0.13.2
- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3