File size: 1,974 Bytes
87e6eaa |
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 |
---
license: apache-2.0
base_model: allenai/longformer-base-4096
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: classification_test_24Jan
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. -->
# classification_test_24Jan
This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2570
- Accuracy: 0.9687
## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.5747 | 1.0 | 1318 | 0.2918 | 0.9311 |
| 0.3317 | 2.0 | 2636 | 0.2456 | 0.9459 |
| 0.2215 | 3.0 | 3954 | 0.2050 | 0.9550 |
| 0.1525 | 4.0 | 5272 | 0.2775 | 0.9590 |
| 0.0977 | 5.0 | 6590 | 0.2771 | 0.9585 |
| 0.0899 | 6.0 | 7908 | 0.2663 | 0.9613 |
| 0.082 | 7.0 | 9226 | 0.2500 | 0.9636 |
| 0.0698 | 8.0 | 10544 | 0.2939 | 0.9607 |
| 0.0287 | 9.0 | 11862 | 0.2668 | 0.9653 |
| 0.0417 | 10.0 | 13180 | 0.2570 | 0.9687 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
|