metadata
base_model: Prezily/my_awesome_model
tags:
- generated_from_trainer
datasets:
- amazon_polarity
metrics:
- accuracy
model-index:
- name: bert_sentiment_2
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: amazon_polarity
type: amazon_polarity
config: amazon_polarity
split: test
args: amazon_polarity
metrics:
- name: Accuracy
type: accuracy
value: 0.9183333333333333
bert_sentiment_2
This model is a fine-tuned version of Prezily/my_awesome_model on the amazon_polarity dataset. It achieves the following results on the evaluation set:
- Loss: 0.4320
- Accuracy: 0.9183
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: 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 | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 375 | 0.3221 | 0.901 |
| 0.3163 | 2.0 | 750 | 0.3553 | 0.914 |
| 0.0945 | 3.0 | 1125 | 0.4320 | 0.9183 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0