File size: 1,782 Bytes
f8ff356 |
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 |
---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert-distilled-twitter-sent140_dataset_hp_optimized_final
results: []
---
<!-- 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. -->
# bert-distilled-twitter-sent140_dataset_hp_optimized_final
This model is a fine-tuned version of [ArafatBHossain/distilbert-base-uncased_fine_tuned_sent140](https://huggingface.co/ArafatBHossain/distilbert-base-uncased_fine_tuned_sent140) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7526
- Accuracy: 0.7701
## 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: 1.0252171333853176e-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: 5
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.5666 | 1.0 | 408 | 0.7110 | 0.7647 |
| 0.501 | 2.0 | 816 | 0.7382 | 0.7567 |
| 0.5199 | 3.0 | 1224 | 0.7562 | 0.7674 |
| 0.4972 | 4.0 | 1632 | 0.7502 | 0.7647 |
| 0.4498 | 5.0 | 2040 | 0.7526 | 0.7701 |
### Framework versions
- Transformers 4.25.1
- Pytorch 1.11.0
- Datasets 2.7.1
- Tokenizers 0.12.1
|