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---
license: apache-2.0
base_model: OpenPipe/mistral-ft-optimized-1227
tags:
- generated_from_trainer
model-index:
- name: models/loras2/7bdb17d0-3f6b-4921-93db-0f46c4d9d81b
results: []
---
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# models/loras2/7bdb17d0-3f6b-4921-93db-0f46c4d9d81b
This model is a fine-tuned version of [OpenPipe/mistral-ft-optimized-1227](https://huggingface.co/OpenPipe/mistral-ft-optimized-1227) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0179
## 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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- num_epochs: 2
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.4795 | 0.02 | 1 | 0.4746 |
| 0.0282 | 0.2 | 12 | 0.0309 |
| 0.0168 | 0.4 | 24 | 0.0242 |
| 0.0216 | 0.59 | 36 | 0.0208 |
| 0.0167 | 0.79 | 48 | 0.0189 |
| 0.0157 | 0.99 | 60 | 0.0186 |
| 0.0156 | 1.19 | 72 | 0.0177 |
| 0.0135 | 1.38 | 84 | 0.0182 |
| 0.0139 | 1.58 | 96 | 0.0178 |
| 0.0169 | 1.78 | 108 | 0.0178 |
| 0.0111 | 1.98 | 120 | 0.0179 |
### Framework versions
- Transformers 4.34.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.6
- Tokenizers 0.14.1
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