File size: 1,803 Bytes
d99b2e5 |
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 |
---
base_model: jerteh/gpt2-orao
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: SRGPTSENTPOS4
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. -->
# SRGPTSENTPOS4
This model is a fine-tuned version of [jerteh/gpt2-orao](https://huggingface.co/jerteh/gpt2-orao) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1738
- F1: 0.2769
## 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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 32
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 0.114 | 1.0 | 2703 | 0.0967 | 0.0 |
| 0.0938 | 2.0 | 5406 | 0.1364 | 0.0 |
| 0.1035 | 3.0 | 8109 | 0.1487 | 0.1111 |
| 0.0906 | 4.0 | 10812 | 0.1429 | 0.2558 |
| 0.0575 | 5.0 | 13515 | 0.2198 | 0.2388 |
| 0.0369 | 6.0 | 16218 | 0.1617 | 0.2817 |
| 0.034 | 7.0 | 18921 | 0.1834 | 0.1935 |
| 0.0126 | 8.0 | 21624 | 0.1738 | 0.2769 |
### Framework versions
- Transformers 4.31.0
- Pytorch 2.2.0.dev20230928
- Datasets 2.14.2
- Tokenizers 0.13.3
|