File size: 3,206 Bytes
aca86e5 b4a08f0 aca86e5 b4a08f0 aca86e5 b4a08f0 aca86e5 |
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 86 87 88 89 |
---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mini_text_classification_finetune_model
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. -->
# mini_text_classification_finetune_model
This model is a fine-tuned version of [microsoft/Multilingual-MiniLM-L12-H384](https://huggingface.co/microsoft/Multilingual-MiniLM-L12-H384) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2095
- Accuracy: 0.3333
## 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: 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: 30
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 1 | 1.3045 | 0.3333 |
| No log | 2.0 | 2 | 1.2998 | 0.3333 |
| No log | 3.0 | 3 | 1.2947 | 0.3333 |
| No log | 4.0 | 4 | 1.2899 | 0.3333 |
| No log | 5.0 | 5 | 1.2851 | 0.3333 |
| No log | 6.0 | 6 | 1.2809 | 0.3333 |
| No log | 7.0 | 7 | 1.2766 | 0.3333 |
| No log | 8.0 | 8 | 1.2721 | 0.3333 |
| No log | 9.0 | 9 | 1.2684 | 0.3333 |
| No log | 10.0 | 10 | 1.2645 | 0.3333 |
| No log | 11.0 | 11 | 1.2607 | 0.3333 |
| No log | 12.0 | 12 | 1.2567 | 0.3333 |
| No log | 13.0 | 13 | 1.2528 | 0.3333 |
| No log | 14.0 | 14 | 1.2490 | 0.3333 |
| No log | 15.0 | 15 | 1.2451 | 0.3333 |
| No log | 16.0 | 16 | 1.2413 | 0.3333 |
| No log | 17.0 | 17 | 1.2377 | 0.3333 |
| No log | 18.0 | 18 | 1.2342 | 0.3333 |
| No log | 19.0 | 19 | 1.2307 | 0.3333 |
| No log | 20.0 | 20 | 1.2275 | 0.3333 |
| No log | 21.0 | 21 | 1.2244 | 0.3333 |
| No log | 22.0 | 22 | 1.2215 | 0.3333 |
| No log | 23.0 | 23 | 1.2190 | 0.3333 |
| No log | 24.0 | 24 | 1.2167 | 0.3333 |
| No log | 25.0 | 25 | 1.2147 | 0.3333 |
| No log | 26.0 | 26 | 1.2130 | 0.3333 |
| No log | 27.0 | 27 | 1.2116 | 0.3333 |
| No log | 28.0 | 28 | 1.2105 | 0.3333 |
| No log | 29.0 | 29 | 1.2098 | 0.3333 |
| No log | 30.0 | 30 | 1.2095 | 0.3333 |
### Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
|