metadata
license: apache-2.0
base_model: lyrisha/distilbert-base-finetuned-imdb-sentiment
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert-base-finetuned-sentiment
results: []
datasets:
- imdb
- nyu-mll/glue
distilbert-base-finetuned-sentiment
This model is a fine-tuned version of lyrisha/distilbert-base-finetuned-imdb-sentiment on an imdb and GLUE SST2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3579
- Accuracy: 0.9128
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: 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1715 | 1.0 | 2105 | 0.2463 | 0.9106 |
| 0.1114 | 2.0 | 4210 | 0.3239 | 0.9037 |
| 0.0755 | 3.0 | 6315 | 0.3579 | 0.9128 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1