license: other | |
tags: | |
- generated_from_trainer | |
datasets: | |
- wikitext | |
metrics: | |
- accuracy | |
base_model: facebook/opt-350m | |
model-index: | |
- name: ov-opt-350m-fp32-kv-cache | |
results: | |
- task: | |
type: text-generation | |
name: Causal Language Modeling | |
dataset: | |
name: wikitext wikitext-2-raw-v1 | |
type: wikitext | |
config: wikitext-2-raw-v1 | |
split: validation | |
args: wikitext-2-raw-v1 | |
metrics: | |
- type: accuracy | |
value: 0.1335940045617465 | |
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. --> | |
# ov-opt-350m-fp32-kv-cache | |
This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on the wikitext wikitext-2-raw-v1 dataset. | |
It achieves the following results on the evaluation set: | |
- Loss: 6.2368 | |
- Accuracy: 0.1336 | |
## 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 | |