metadata
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: mistralai/Mistral-7B-v0.1
datasets:
- generator
model-index:
- name: lc-7b-sft-lora
results: []
lc-7b-sft-lora
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 1.4782
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: 2e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.6469 | 1.0 | 16 | 1.6182 |
| 1.5733 | 2.0 | 32 | 1.5646 |
| 1.5088 | 3.0 | 48 | 1.5251 |
| 1.4873 | 4.0 | 64 | 1.4960 |
| 1.4409 | 5.0 | 80 | 1.4758 |
| 1.4061 | 6.0 | 96 | 1.4655 |
| 1.4014 | 7.0 | 112 | 1.4588 |
| 1.3723 | 8.0 | 128 | 1.4573 |
| 1.346 | 9.0 | 144 | 1.4604 |
| 1.306 | 10.0 | 160 | 1.4605 |
| 1.307 | 11.0 | 176 | 1.4639 |
| 1.3115 | 12.0 | 192 | 1.4663 |
| 1.3093 | 13.0 | 208 | 1.4683 |
| 1.2644 | 14.0 | 224 | 1.4705 |
| 1.2641 | 15.0 | 240 | 1.4748 |
| 1.2578 | 16.0 | 256 | 1.4754 |
| 1.2538 | 17.0 | 272 | 1.4771 |
| 1.2611 | 18.0 | 288 | 1.4779 |
| 1.2609 | 19.0 | 304 | 1.4783 |
| 1.2805 | 20.0 | 320 | 1.4782 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.0
- Pytorch 2.0.1+cu118
- Datasets 2.19.1
- Tokenizers 0.19.1