File size: 1,857 Bytes
2142a94 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 |
---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- reviews_with_drift
metrics:
- accuracy
- f1
model-index:
- name: distilbert_finetuned_reviews_with_drift
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: reviews_with_drift
type: reviews_with_drift
args: default
metrics:
- name: Accuracy
type: accuracy
value: 0.854780153287616
- name: F1
type: f1
value: 0.8547073010596418
---
<!-- 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. -->
# distilbert_finetuned_reviews_with_drift
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the reviews_with_drift dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3822
- Accuracy: 0.8548
- F1: 0.8547
## 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: 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: 2
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.4173 | 1.0 | 620 | 0.3519 | 0.8511 | 0.8511 |
| 0.259 | 2.0 | 1240 | 0.3822 | 0.8548 | 0.8547 |
### Framework versions
- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1
|