File size: 1,338 Bytes
547c0a8 2dcf7da 547c0a8 3432c45 547c0a8 2dcf7da 8632135 547c0a8 2dcf7da 547c0a8 f2a4ee4 547c0a8 2dcf7da 547c0a8 2dcf7da 547c0a8 2dcf7da |
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 |
---
license: mit
base_model: facebook/opt-350m
tags:
- trl
- sft
- gnumanth/dadjokes-trained-opt
model-index:
- name: tmp_trainer
results: []
datasets:
- gnumanth/dad-jokes
language:
- en
pipeline_tag: text-generation
widget:
- text: "joke"
---
<!-- 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. -->
#
This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on an [gnumanth/dad-jokes](https://huggingface.co/datasets/gnumanth/dad-jokes) dataset.
## Model description
SFT Trained simple model for fun!
### 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: 3.0
### Training results
```
TrainOutput(global_step=18, training_loss=2.2378472222222223, metrics={'train_runtime': 149.7511, 'train_samples_per_second': 0.881, 'train_steps_per_second': 0.12, 'total_flos': 9828797644800.0, 'train_loss': 2.2378472222222223, 'epoch': 3.0})
```
### Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.1 |