File size: 2,910 Bytes
2061aad |
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 73 74 75 76 77 78 79 80 81 82 83 84 85 |
---
license: apache-2.0
base_model: mnaylor/mega-base-wikitext
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mega-base-wikitext-finetuned-INCIBE
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. -->
# mega-base-wikitext-finetuned-INCIBE
This model is a fine-tuned version of [mnaylor/mega-base-wikitext](https://huggingface.co/mnaylor/mega-base-wikitext) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5428
- Accuracy: 0.3760
## 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: 25
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 196 | 1.8660 | 0.2296 |
| No log | 2.0 | 392 | 1.7639 | 0.2457 |
| 1.9099 | 3.0 | 588 | 1.7296 | 0.2528 |
| 1.9099 | 4.0 | 784 | 1.7125 | 0.2547 |
| 1.9099 | 5.0 | 980 | 1.7017 | 0.2595 |
| 1.7129 | 6.0 | 1176 | 1.6944 | 0.2946 |
| 1.7129 | 7.0 | 1372 | 1.6882 | 0.2872 |
| 1.6904 | 8.0 | 1568 | 1.6827 | 0.2830 |
| 1.6904 | 9.0 | 1764 | 1.6742 | 0.3204 |
| 1.6904 | 10.0 | 1960 | 1.6570 | 0.3312 |
| 1.6668 | 11.0 | 2156 | 1.6293 | 0.3514 |
| 1.6668 | 12.0 | 2352 | 1.6035 | 0.3555 |
| 1.6166 | 13.0 | 2548 | 1.5813 | 0.3607 |
| 1.6166 | 14.0 | 2744 | 1.5664 | 0.3671 |
| 1.6166 | 15.0 | 2940 | 1.5578 | 0.3715 |
| 1.5574 | 16.0 | 3136 | 1.5547 | 0.3715 |
| 1.5574 | 17.0 | 3332 | 1.5444 | 0.3738 |
| 1.5278 | 18.0 | 3528 | 1.5429 | 0.3760 |
| 1.5278 | 19.0 | 3724 | 1.5402 | 0.3757 |
| 1.5278 | 20.0 | 3920 | 1.5384 | 0.3738 |
| 1.5141 | 21.0 | 4116 | 1.5351 | 0.3745 |
| 1.5141 | 22.0 | 4312 | 1.5373 | 0.3738 |
| 1.5091 | 23.0 | 4508 | 1.5356 | 0.3715 |
| 1.5091 | 24.0 | 4704 | 1.5353 | 0.3730 |
| 1.5091 | 25.0 | 4900 | 1.5349 | 0.3734 |
### Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|