File size: 2,025 Bytes
7cfa0d3 |
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: mit
base_model: gpt2
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: gpt2-finetuned-stationary-update
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. -->
# gpt2-finetuned-stationary-update
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6156
- Accuracy: 0.7067
- F1: 0.6780
## 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: 64
- eval_batch_size: 64
- 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 | F1 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.6691 | 1.0 | 38 | 0.6355 | 0.6667 | 0.5333 |
| 0.6204 | 2.0 | 76 | 0.6287 | 0.69 | 0.6342 |
| 0.5971 | 3.0 | 114 | 0.6185 | 0.6867 | 0.6287 |
| 0.5875 | 4.0 | 152 | 0.6268 | 0.68 | 0.5831 |
| 0.5494 | 5.0 | 190 | 0.6000 | 0.6967 | 0.6420 |
| 0.5272 | 6.0 | 228 | 0.6156 | 0.69 | 0.6180 |
| 0.5026 | 7.0 | 266 | 0.6364 | 0.6833 | 0.6201 |
| 0.4789 | 8.0 | 304 | 0.6179 | 0.71 | 0.6703 |
| 0.4742 | 9.0 | 342 | 0.6198 | 0.7033 | 0.6693 |
| 0.4528 | 10.0 | 380 | 0.6156 | 0.7067 | 0.6780 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
|