metadata
license: other
base_model: facebook/opt-125m
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: opt-125m-finetuned-mnli
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
config: mnli
split: validation_matched
args: mnli
metrics:
- name: Accuracy
type: accuracy
value: 0.35517065715741214
opt-125m-finetuned-mnli
This model is a fine-tuned version of facebook/opt-125m on the glue dataset. It achieves the following results on the evaluation set:
- Loss: 1.7566
- Accuracy: 0.3552
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-06
- train_batch_size: 16
- eval_batch_size: 16
- 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 |
|---|---|---|---|---|
| 0.0726 | 1.0 | 1 | 1.7835 | 0.3536 |
| 0.1157 | 2.0 | 2 | 1.7566 | 0.3552 |
| 0.0624 | 3.0 | 3 | 1.7372 | 0.3548 |
| 0.07 | 4.0 | 4 | 1.7249 | 0.3544 |
| 0.0689 | 5.0 | 5 | 1.7189 | 0.3545 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0