---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: mentalcaption-gen
  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. -->

# mentalcaption-gen

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 7.9737

## 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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| No log        | 0.9964 | 103  | 15.2992         |
| No log        | 1.9927 | 206  | 13.3893         |
| No log        | 2.9988 | 310  | 12.0359         |
| No log        | 3.9952 | 413  | 10.7522         |
| No log        | 4.9915 | 516  | 9.6566          |
| No log        | 5.9976 | 620  | 8.9572          |
| No log        | 6.9940 | 723  | 8.5702          |
| No log        | 8.0    | 827  | 8.3065          |
| No log        | 8.9964 | 930  | 8.1143          |
| No log        | 9.9637 | 1030 | 7.9737          |


### Framework versions

- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1