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---
language:
- zh
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- nycu-112-2-deeplearning-hw2
- generated_from_trainer
base_model: mistralai/Mistral-7B-Instruct-v0.2
datasets:
- DandinPower/ZH-Reading-Comprehension-Mistral-Instruct
model-index:
- name: mistral_7b_lora_completion_only
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral_7b_lora_completion_only
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the DandinPower/ZH-Reading-Comprehension-Mistral-Instruct dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1344
## 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: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- total_eval_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 700
- num_epochs: 3.0
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.1996 | 0.3690 | 250 | 0.1814 |
| 0.1856 | 0.7380 | 500 | 0.1344 |
| 0.1515 | 1.1070 | 750 | 0.1724 |
| 0.1547 | 1.4760 | 1000 | 0.1977 |
| 0.0953 | 1.8450 | 1250 | 0.1641 |
| 0.0788 | 2.2140 | 1500 | 0.1450 |
| 0.0715 | 2.5830 | 1750 | 0.1359 |
| 0.0646 | 2.9520 | 2000 | 0.1427 |
### Framework versions
- PEFT 0.10.0
- Transformers 4.40.0
- Pytorch 2.2.2+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1 |