File size: 2,146 Bytes
7156bfc |
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 |
---
license: apache-2.0
base_model: funnel-transformer/intermediate-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: NLPGroupProject-Finetune-Funnel-Transformer
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. -->
# NLPGroupProject-Finetune-Funnel-Transformer
This model is a fine-tuned version of [funnel-transformer/intermediate-base](https://huggingface.co/funnel-transformer/intermediate-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3863
- Accuracy: 0.263
## 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: 2
- eval_batch_size: 2
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.4073 | 0.25 | 500 | 1.3863 | 0.262 |
| 1.403 | 0.5 | 1000 | 1.3863 | 0.275 |
| 1.4031 | 0.75 | 1500 | 1.3863 | 0.263 |
| 1.4035 | 1.0 | 2000 | 1.3863 | 0.259 |
| 1.3984 | 1.25 | 2500 | 1.3863 | 0.283 |
| 1.3904 | 1.5 | 3000 | 1.3863 | 0.263 |
| 1.3977 | 1.75 | 3500 | 1.3863 | 0.252 |
| 1.3949 | 2.0 | 4000 | 1.3863 | 0.272 |
| 1.3979 | 2.25 | 4500 | 1.3863 | 0.258 |
| 1.3965 | 2.5 | 5000 | 1.3863 | 0.225 |
| 1.3944 | 2.75 | 5500 | 1.3863 | 0.246 |
| 1.3999 | 3.0 | 6000 | 1.3863 | 0.263 |
### Framework versions
- Transformers 4.40.0
- Pytorch 2.2.2+cu118
- Datasets 2.19.0
- Tokenizers 0.19.1
|