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license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: mistralai/Mistral-7B-Instruct-v0.2
model-index:
- name: andewbot-ft
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. -->
# andewbot-ft
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7098
## 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: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 10
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.4346 | 0.95 | 10 | 2.3739 |
| 1.5612 | 2.0 | 21 | 1.0105 |
| 0.9258 | 2.95 | 31 | 0.8001 |
| 0.7463 | 4.0 | 42 | 0.7465 |
| 0.7622 | 4.95 | 52 | 0.7183 |
| 0.6714 | 6.0 | 63 | 0.7132 |
| 0.7291 | 6.95 | 73 | 0.7120 |
| 0.6559 | 8.0 | 84 | 0.7102 |
| 0.7171 | 8.95 | 94 | 0.7099 |
| 0.621 | 9.52 | 100 | 0.7098 |
### Framework versions
- PEFT 0.8.2
- Transformers 4.39.1
- Pytorch 2.2.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2 |