|
--- |
|
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 |
|
|
