transformers tensorboard safetensors gpt2 text-generation generated_from_trainer base_model:distilgpt2 license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: apache-2.0
base_model: distilgpt2
tags:
- generated_from_trainer
model-index:
- name: montelnewsspeaker
  results: []
---

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# montelnewsspeaker

This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8843

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.8369        | 1.0   | 1090  | 0.8848          |
| 0.8257        | 2.0   | 2180  | 0.8879          |
| 0.8085        | 3.0   | 3270  | 0.8750          |
| 0.7996        | 4.0   | 4360  | 0.8720          |
| 0.7861        | 5.0   | 5450  | 0.8789          |
| 0.7781        | 6.0   | 6540  | 0.8777          |
| 0.768         | 7.0   | 7630  | 0.8798          |
| 0.7585        | 8.0   | 8720  | 0.8789          |
| 0.7475        | 9.0   | 9810  | 0.8774          |
| 0.739         | 10.0  | 10900 | 0.8828          |
| 0.7285        | 11.0  | 11990 | 0.8817          |
| 0.7269        | 12.0  | 13080 | 0.8813          |
| 0.7202        | 13.0  | 14170 | 0.8801          |
| 0.7156        | 14.0  | 15260 | 0.8839          |
| 0.7106        | 15.0  | 16350 | 0.8843          |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.15.0
