metadata
license: mit
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: HuggingFaceH4/zephyr-7b-beta
model-index:
- name: zephyr_instruct_generation
results: []
zephyr_instruct_generation
This model is a fine-tuned version of HuggingFaceH4/zephyr-7b-beta on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5753
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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 0.03
- training_steps: 150
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.8455 | 0.4 | 10 | 2.2310 |
| 1.8394 | 0.8 | 20 | 1.3360 |
| 1.0736 | 1.2 | 30 | 0.9132 |
| 0.8515 | 1.6 | 40 | 0.7353 |
| 0.7499 | 2.0 | 50 | 0.6281 |
| 0.5876 | 2.4 | 60 | 0.5897 |
| 0.6041 | 2.8 | 70 | 0.5737 |
| 0.5057 | 3.2 | 80 | 0.5581 |
| 0.512 | 3.6 | 90 | 0.5704 |
| 0.5419 | 4.0 | 100 | 0.5537 |
| 0.4451 | 4.4 | 110 | 0.5777 |
| 0.4467 | 4.8 | 120 | 0.5541 |
| 0.4351 | 5.2 | 130 | 0.5612 |
| 0.3963 | 5.6 | 140 | 0.5898 |
| 0.4264 | 6.0 | 150 | 0.5753 |
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0