---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: mindmate_v2_further_finetuned
  results: []
---

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# MindMate_v4

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.0713

## 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: 1e-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 |
|:-------------:|:------:|:----:|:---------------:|
| 1.6811        | 1.0    | 99   | 3.1537          |
| 1.5816        | 2.0    | 198  | 3.0878          |
| 1.551         | 2.9722 | 294  | 3.0713          |


### Framework versions

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