autoevaluator
HF staff
Add evaluation results on the mathemakitten--winobias_antistereotype_dev config and validation split of mathemakitten/winobias_antistereotype_dev
e05e849
license: other | |
tags: | |
- generated_from_trainer | |
model-index: | |
- name: opt-125m-wikitext2 | |
results: | |
- task: | |
type: zero-shot-classification | |
name: Zero-Shot Text Classification | |
dataset: | |
name: mathemakitten/winobias_antistereotype_dev | |
type: mathemakitten/winobias_antistereotype_dev | |
config: mathemakitten--winobias_antistereotype_dev | |
split: validation | |
metrics: | |
- type: accuracy | |
value: 0.4375 | |
name: Accuracy | |
verified: true | |
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOTYwMThiZjYwMmNmZDA4ZmUyNzYwNjU3MGU0NTRhZjI5NWVjNGRmOTRhZWRlZWVmYzQ5MWRiNmQ0MzRlMjU0NyIsInZlcnNpb24iOjF9.hqz3Xwego8qtofxVwg0yO0Ovk6G_kXYj55gPPLzmBFYJQOuy9kSa8g2Sm_GRTU0GSU10rAtDzYCSyehqz58VBQ | |
- type: loss | |
value: 1.1480248920549638 | |
name: Loss | |
verified: true | |
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZDhkODZmMzgyODQyNzYzZGE4Nzc2YjhkZTk0ZDgwMGUwMjI0ZjliMmQyODM3NzlkODkwOWEwYzBlNWU4NzlmMCIsInZlcnNpb24iOjF9.qlhKo7zXMRYAYWTszoZ7VQqF52mCDBQ7PRLD6y6doFmAnmKa8nv4VQeDBFdYwomMA1Rdw2jwqhYcwbgSYEm0CA | |
<!-- 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. --> | |
# opt-125m-wikitext2 | |
This model is a fine-tuned version of [facebook/opt-125m](https://huggingface.co/facebook/opt-125m) on the None dataset. | |
It achieves the following results on the evaluation set: | |
- Loss: 3.3409 | |
## 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: 2e-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: 3.0 | |
### Training results | |
| Training Loss | Epoch | Step | Validation Loss | | |
|:-------------:|:-----:|:----:|:---------------:| | |
| 3.4123 | 1.0 | 2370 | 3.3621 | | |
| 3.2096 | 2.0 | 4740 | 3.3452 | | |
| 3.0822 | 3.0 | 7110 | 3.3409 | | |
### Framework versions | |
- Transformers 4.20.1 | |
- Pytorch 1.11.0+cu113 | |
- Datasets 2.3.2 | |
- Tokenizers 0.12.1 | |