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---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
datasets:
- samantha-data
base_model: mistralai/Mistral-7B-Instruct-v0.1
model-index:
- name: mistral_7b_samantha
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_samantha
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) on the samantha-data dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7573
## 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: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 0.03
- training_steps: 100
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.7235 | 0.4 | 10 | 1.8474 |
| 1.2154 | 0.8 | 20 | 1.7551 |
| 1.1009 | 1.2 | 30 | 1.6884 |
| 0.981 | 1.6 | 40 | 1.6751 |
| 0.9463 | 2.0 | 50 | 1.6704 |
| 0.8443 | 2.4 | 60 | 1.7248 |
| 0.8128 | 2.8 | 70 | 1.7101 |
| 0.8158 | 3.2 | 80 | 1.7826 |
| 0.7087 | 3.6 | 90 | 1.7805 |
| 0.7091 | 4.0 | 100 | 1.7573 |
### Framework versions
- PEFT 0.8.2
- Transformers 4.38.1
- Pytorch 2.2.1+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2 |