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---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: NickyNicky/Mistral-7B-OpenOrca-oasst_top1_2023-08-25-v2
model-index:
- name: mistral-sigoIAspirantes-Orca-oass-500-gpu
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-sigoIAspirantes-Orca-oass-500-gpu
This model is a fine-tuned version of [NickyNicky/Mistral-7B-OpenOrca-oasst_top1_2023-08-25-v2](https://huggingface.co/NickyNicky/Mistral-7B-OpenOrca-oasst_top1_2023-08-25-v2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1371
## 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: 2.5e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- training_steps: 500
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.6909 | 0.3521 | 25 | 1.2135 |
| 1.026 | 0.7042 | 50 | 0.8374 |
| 0.7146 | 1.0563 | 75 | 0.6276 |
| 0.5094 | 1.4085 | 100 | 0.4925 |
| 0.3916 | 1.7606 | 125 | 0.3939 |
| 0.3408 | 2.1127 | 150 | 0.3084 |
| 0.1724 | 2.4648 | 175 | 0.2717 |
| 0.2586 | 2.8169 | 200 | 0.2026 |
| 0.1434 | 3.1690 | 225 | 0.1940 |
| 0.1253 | 3.5211 | 250 | 0.1579 |
| 0.1197 | 3.8732 | 275 | 0.1526 |
| 0.0792 | 4.2254 | 300 | 0.1582 |
| 0.0937 | 4.5775 | 325 | 0.1579 |
| 0.0898 | 4.9296 | 350 | 0.1381 |
| 0.0717 | 5.2817 | 375 | 0.1386 |
| 0.0665 | 5.6338 | 400 | 0.1350 |
| 0.0773 | 5.9859 | 425 | 0.1325 |
| 0.0602 | 6.3380 | 450 | 0.1394 |
| 0.055 | 6.6901 | 475 | 0.1377 |
| 0.0602 | 7.0423 | 500 | 0.1371 |
### Framework versions
- PEFT 0.10.1.dev0
- Transformers 4.41.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1 |