---
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: 7.2071

## 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: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| No log        | 0.9915  | 102  | 15.0712         |
| No log        | 1.9927  | 205  | 13.1284         |
| No log        | 2.9939  | 308  | 11.8544         |
| No log        | 3.9951  | 411  | 10.6004         |
| No log        | 4.9964  | 514  | 9.4891          |
| No log        | 5.9976  | 617  | 8.7946          |
| No log        | 6.9988  | 720  | 8.4227          |
| No log        | 8.0     | 823  | 8.1604          |
| No log        | 8.9915  | 925  | 7.9719          |
| No log        | 9.9927  | 1028 | 7.8098          |
| No log        | 10.9939 | 1131 | 7.6744          |
| No log        | 11.9951 | 1234 | 7.5685          |
| No log        | 12.9964 | 1337 | 7.4601          |
| No log        | 13.9976 | 1440 | 7.3741          |
| No log        | 14.9988 | 1543 | 7.3002          |
| No log        | 16.0    | 1646 | 7.2581          |
| No log        | 16.9915 | 1748 | 7.2293          |
| No log        | 17.9927 | 1851 | 7.2151          |
| No log        | 18.9939 | 1954 | 7.2077          |
| No log        | 19.8299 | 2040 | 7.2071          |


### Framework versions

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