---
library_name: transformers
base_model: pubgmob1024/MindMate_v2
tags:
- generated_from_trainer
model-index:
- name: mindmate_v2_finetuned
  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. -->

# MindMate_v3

This model is a fine-tuned version of [pubgmob1024/MindMate_v2](https://huggingface.co/pubgmob1024/MindMate_v2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.1350

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 0.96  | 18   | 3.6584          |
| No log        | 1.96  | 36   | 3.2618          |
| 1.7299        | 2.96  | 54   | 3.1350          |


### Framework versions

- Transformers 4.51.1
- Pytorch 2.5.1+cu124
- Datasets 3.5.0
- Tokenizers 0.21.0