File size: 1,920 Bytes
41d01d2 |
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 |
---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: text_classification_gpt2_1
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. -->
# text_classification_gpt2_1
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4571
- Accuracy: 0.792
## 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: 4
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.01
- num_epochs: 1
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.9088 | 0.1 | 625 | 0.6229 | 0.662 |
| 1.0188 | 0.2 | 1250 | 0.5429 | 0.7092 |
| 0.9781 | 0.3 | 1875 | 0.5086 | 0.7556 |
| 0.6919 | 0.4 | 2500 | 0.4571 | 0.792 |
| 0.002 | 0.5 | 3125 | 0.5278 | 0.7892 |
| 1.6834 | 0.6 | 3750 | 0.5348 | 0.8104 |
| 0.0436 | 0.7 | 4375 | 0.4732 | 0.826 |
| 0.0332 | 0.8 | 5000 | 0.4995 | 0.8252 |
| 0.9907 | 0.9 | 5625 | 0.4764 | 0.8344 |
| 0.9651 | 1.0 | 6250 | 0.4809 | 0.8364 |
### Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
|