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---
license: mit
tags:
- generated_from_trainer
datasets:
- wikitext
metrics:
- accuracy
model-index:
- name: gpt2-fp32-ov-kv-cache
results:
- task:
name: Causal Language Modeling
type: text-generation
dataset:
name: wikitext wikitext-2-raw-v1
type: wikitext
config: wikitext-2-raw-v1
split: validation
args: wikitext-2-raw-v1
metrics:
- name: Accuracy
type: accuracy
value: 0.38449006190941676
---
<!-- 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. -->
# gpt2-fp32-ov-kv-cache
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the wikitext wikitext-2-raw-v1 dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3894
- Accuracy: 0.3845
## 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: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 1
### Training results
### Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3
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