---
library_name: transformers
base_model: pubgmob1024/MindMate
tags:
- generated_from_trainer
model-index:
- name: empathetic_dialogues_finetune
  results: []
---

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# MindMate_v2

This model is a fine-tuned version of [pubgmob1024/MindMate](https://huggingface.co/pubgmob1024/MindMate) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0421

## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- 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

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.9907        | 1.0    | 2231 | 2.0655          |
| 1.9061        | 2.0    | 4462 | 2.0435          |
| 1.8051        | 2.9989 | 6690 | 2.0421          |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1