---
library_name: peft
license: apache-2.0
base_model: ministral/Ministral-3b-instruct
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
model-index:
- name: lora_sentiment_analysis
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# lora_sentiment_analysis

This model is a fine-tuned version of [ministral/Ministral-3b-instruct](https://huggingface.co/ministral/Ministral-3b-instruct) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7821

## 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: 0.0005
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 9.3704        | 1.0    | 262  | 1.1464          |
| 7.0922        | 2.0    | 524  | 0.8622          |
| 5.1725        | 2.9890 | 783  | 0.7821          |


### Framework versions

- PEFT 0.14.0
- Transformers 4.48.0
- Pytorch 2.1.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0