---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: FreeLabSeminar_MammoLLM_Changi
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# FreeLabSeminar_MammoLLM_Changi

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: 5.2350

## 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: 0.0005
- train_batch_size: 192
- eval_batch_size: 192
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 768
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 5
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 6.76          | 0.74  | 5    | 5.2350          |


### Framework versions

- Transformers 4.34.0
- Pytorch 1.13.1
- Datasets 2.14.5
- Tokenizers 0.14.1