File size: 1,487 Bytes
30a7090 5d02d55 30a7090 1df429e 30a7090 5d02d55 30a7090 5d02d55 30a7090 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 |
---
license: mit
tags:
- text-generation
- quotes
- quote
- generated_from_trainer
model-index:
- name: jrtec-gpt2-text-generation-quotes-base-jonathan-vargas
results: []
widget:
- text: "life: "
example_title: "Life quote"
- text: "death: "
example_title: "Death quote"
---
<!-- 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. -->
# jrtec-gpt2-text-generation-quotes-base-jonathan-vargas
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the datasetX dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5665
## 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: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.7563 | 1.95 | 500 | 0.5665 |
| 0.4685 | 3.89 | 1000 | 0.5696 |
### Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1
|