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---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: mistralai/Mistral-7B-v0.1
model-index:
- name: mistral-dict-finetune
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-dict-finetune
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0971
## 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: 0.00025
- 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: 150
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5253 | 0.02 | 10 | 1.2809 |
| 0.6095 | 0.04 | 20 | 1.3211 |
| 0.6344 | 0.06 | 30 | 1.2456 |
| 0.6884 | 0.08 | 40 | 1.2517 |
| 0.8843 | 0.1 | 50 | 1.1908 |
| 1.1089 | 0.12 | 60 | 1.1586 |
| 1.1403 | 0.14 | 70 | 1.1397 |
| 1.1651 | 0.16 | 80 | 1.1363 |
| 1.2073 | 0.18 | 90 | 1.1258 |
| 1.1118 | 0.2 | 100 | 1.1154 |
| 1.0701 | 0.22 | 110 | 1.1106 |
| 1.1988 | 0.24 | 120 | 1.1064 |
| 1.1405 | 0.26 | 130 | 1.1029 |
| 1.0875 | 0.28 | 140 | 1.0986 |
| 1.1385 | 0.3 | 150 | 1.0971 |
### Framework versions
- PEFT 0.10.1.dev0
- Transformers 4.40.0.dev0
- Pytorch 2.1.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2 |