distilbert-mnli / README.md
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---
base_model: distilbert/distilbert-base-uncased
datasets:
- nyu-mll/multi_nli
language: en
library_name: transformers
license: apache-2.0
metrics:
- accuracy
pipeline_tag: sentence-similarity
datasets_description:
- MNLI
model-index:
- name: distilbert-base-uncased-mnli
results:
- task:
type: natural-language-inference
dataset:
name: nyu-mll/multi_nli
type: nli
split: validation_matched
metrics:
- type: accuracy
value: 0.8203
---
# Model Card for distilbert-base-uncased
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
A fine-tuned version of `distilbert/distilbert-base-uncased` using the `nyu-mll/multi_nli` dataset.
- **Developed by:** Karl Weinmeister
- **Language(s) (NLP):** en
- **License:** apache-2.0
- **Finetuned from model [optional]:** distilbert/distilbert-base-uncased
#### Training Hyperparameters
- **Training regime:** The model was trained for 5 epochs with batch size 128.