metadata
license: mit
tags:
- generated_from_trainer
datasets:
- crows_pairs
metrics:
- accuracy
model-index:
- name: crowspairs_trainer_roberta-large_finetuned
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: crows_pairs
type: crows_pairs
config: crows_pairs
split: test
args: crows_pairs
metrics:
- name: Accuracy
type: accuracy
value: 0.4966887417218543
crowspairs_trainer_roberta-large_finetuned
This model is a fine-tuned version of roberta-large on the crows_pairs dataset. It achieves the following results on the evaluation set:
- Loss: 0.6933
- Accuracy: 0.4967
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 0.53 | 20 | 0.6942 | 0.5033 |
| No log | 1.05 | 40 | 0.6943 | 0.4967 |
| No log | 1.58 | 60 | 0.7100 | 0.4967 |
| No log | 2.11 | 80 | 0.6937 | 0.4967 |
| No log | 2.63 | 100 | 0.6937 | 0.4967 |
| No log | 3.16 | 120 | 0.6936 | 0.4967 |
| No log | 3.68 | 140 | 0.6931 | 0.5033 |
| No log | 4.21 | 160 | 0.6938 | 0.4967 |
| No log | 4.74 | 180 | 0.6933 | 0.4967 |
Framework versions
- Transformers 4.23.1
- Pytorch 1.12.1
- Datasets 2.6.1
- Tokenizers 0.13.1