File size: 2,265 Bytes
b8e68f2 |
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 |
---
base_model: Musixmatch/umberto-commoncrawl-cased-v1
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: target_classification_ita_correlations
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. -->
# target_classification_ita_correlations
This model is a fine-tuned version of [Musixmatch/umberto-commoncrawl-cased-v1](https://huggingface.co/Musixmatch/umberto-commoncrawl-cased-v1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2819
- F1: 0.4706
- Roc Auc: 0.6871
- Accuracy: 0.8351
## 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: 8
- eval_batch_size: 8
- 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 | F1 | Roc Auc | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
| No log | 1.0 | 291 | 0.2433 | 0.0 | 0.5 | 0.8265 |
| 0.2713 | 2.0 | 582 | 0.2193 | 0.3151 | 0.5994 | 0.8402 |
| 0.2713 | 3.0 | 873 | 0.2360 | 0.3922 | 0.6318 | 0.8488 |
| 0.1809 | 4.0 | 1164 | 0.2863 | 0.2985 | 0.5898 | 0.8488 |
| 0.1809 | 5.0 | 1455 | 0.3117 | 0.25 | 0.5735 | 0.8351 |
| 0.1173 | 6.0 | 1746 | 0.2819 | 0.4706 | 0.6871 | 0.8351 |
| 0.0808 | 7.0 | 2037 | 0.3277 | 0.3226 | 0.6053 | 0.8282 |
| 0.0808 | 8.0 | 2328 | 0.3416 | 0.3797 | 0.6294 | 0.8402 |
| 0.0507 | 9.0 | 2619 | 0.3316 | 0.4046 | 0.6478 | 0.8299 |
| 0.0507 | 10.0 | 2910 | 0.3661 | 0.3659 | 0.6266 | 0.8299 |
### Framework versions
- Transformers 4.40.1
- Pytorch 2.3.0+cu118
- Datasets 2.19.0
- Tokenizers 0.19.1
|