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---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: mistralai/Mistral-7B-Instruct-v0.1
datasets:
- generator
model-index:
- name: Mistral-7B-v0.1_Emotion
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-v0.1_Emotion
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 generator dataset.
## Model description
Article: https://medium.com/@frankmorales_91352/fine-tuning-mistral-7b-instruct-v0-1-88b27a194248
## Intended uses & limitations
More information needed
## Training and evaluation data
Evaluation: https://github.com/frank-morales2020/MLxDL/blob/main/FineTunning_Testing_For_EmotionQADataset.ipynb
The following hyperparameters were used during training:
learning_rate: 0.0002 train_batch_size: 3 eval_batch_size: 8 seed: 42
gradient_accumulation_steps: 2 total_train_batch_size: 6
optimizer: Adam with betas=(0.9,0.999)
and epsilon=1e-08 lr_scheduler_type: constant lr_scheduler_warmup_ratio: 0.03
num_epochs: 40
Accuracy (Eval dataset and predict) for a sample of 2000: TBD%
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 3
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 6
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 40
### Training results
### Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1 |