File size: 1,958 Bytes
c616147 |
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: mit
base_model: roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: v9_checkpoints
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. -->
# v9_checkpoints
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6931
- Accuracy: 0.4851
## 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: 16
- eval_batch_size: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.6962 | 1.0 | 746 | 0.6931 | 0.5478 |
| 0.6971 | 2.0 | 1492 | 0.6931 | 0.5350 |
| 0.6958 | 3.0 | 2238 | 0.6931 | 0.5538 |
| 0.6951 | 4.0 | 2984 | 0.6931 | 0.5595 |
| 0.6953 | 5.0 | 3730 | 0.6931 | 0.5360 |
| 0.6959 | 6.0 | 4476 | 0.6931 | 0.4509 |
| 0.6957 | 7.0 | 5222 | 0.6931 | 0.5357 |
| 0.6939 | 8.0 | 5968 | 0.6931 | 0.5273 |
| 0.6946 | 9.0 | 6714 | 0.6931 | 0.4495 |
| 0.6941 | 10.0 | 7460 | 0.6931 | 0.4851 |
### Framework versions
- Transformers 4.41.2
- Pytorch 2.1.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
|