---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: MammoLLM_bz32_acc4_lr1e4_large
  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. -->

# MammoLLM_bz32_acc4_lr1e4_large

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: 1.1323

## 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: 0.0001
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 4
- 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

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 3.5563        | 0.48  | 500   | 2.1117          |
| 1.963         | 0.96  | 1000  | 1.6979          |
| 1.6708        | 1.44  | 1500  | 1.5274          |
| 1.5456        | 1.92  | 2000  | 1.4406          |
| 1.452         | 2.4   | 2500  | 1.3906          |
| 1.4081        | 2.87  | 3000  | 1.3467          |
| 1.346         | 3.35  | 3500  | 1.3180          |
| 1.3133        | 3.83  | 4000  | 1.2879          |
| 1.2622        | 4.31  | 4500  | 1.2587          |
| 1.2337        | 4.79  | 5000  | 1.2409          |
| 1.1872        | 5.27  | 5500  | 1.2200          |
| 1.158         | 5.75  | 6000  | 1.2001          |
| 1.12          | 6.23  | 6500  | 1.1842          |
| 1.0878        | 6.71  | 7000  | 1.1682          |
| 1.0622        | 7.19  | 7500  | 1.1585          |
| 1.0307        | 7.66  | 8000  | 1.1475          |
| 1.015         | 8.14  | 8500  | 1.1406          |
| 0.991         | 8.62  | 9000  | 1.1355          |
| 0.9858        | 9.1   | 9500  | 1.1336          |
| 0.9718        | 9.58  | 10000 | 1.1323          |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.3
- Tokenizers 0.13.3