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---
license: mit
tags:
- generated_from_trainer
datasets:
- kpriyanshu256/the_verge-linustechtips-two_min
metrics:
- accuracy
base_model: gpt2
model-index:
- name: gpt-ya2-v2
results:
- task:
type: text-generation
name: Causal Language Modeling
dataset:
name: kpriyanshu256/the_verge-linustechtips-two_min
type: kpriyanshu256/the_verge-linustechtips-two_min
metrics:
- type: accuracy
value: 0.3690952822914751
name: Accuracy
---
<!-- 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. -->
# gpt-ya2-v2
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the kpriyanshu256/the_verge-linustechtips-two_min dataset.
It achieves the following results on the evaluation set:
- Loss: 3.1519
- Accuracy: 0.3691
## 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: 5.0
- mixed_precision_training: Native AMP
### Training results
### Framework versions
- Transformers 4.25.0.dev0
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1
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