File size: 1,928 Bytes
752c12c |
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: FacebookAI/xlm-roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: medidalRoberta
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. -->
# medidalRoberta
This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0334
- Accuracy: 0.9868
## 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: 32
- eval_batch_size: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 19 | 1.3034 | 0.5789 |
| No log | 2.0 | 38 | 0.6350 | 0.8816 |
| No log | 3.0 | 57 | 0.2689 | 0.8947 |
| No log | 4.0 | 76 | 0.1290 | 0.9868 |
| No log | 5.0 | 95 | 0.1135 | 0.9605 |
| No log | 6.0 | 114 | 0.0605 | 0.9868 |
| No log | 7.0 | 133 | 0.0536 | 0.9868 |
| No log | 8.0 | 152 | 0.0417 | 0.9868 |
| No log | 9.0 | 171 | 0.0332 | 0.9868 |
| No log | 10.0 | 190 | 0.0334 | 0.9868 |
### Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
|