Model save
Browse files- README.md +78 -0
- model.safetensors +1 -1
README.md
ADDED
|
@@ -0,0 +1,78 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: transformers
|
| 3 |
+
license: mit
|
| 4 |
+
base_model: Davlan/afro-xlmr-base
|
| 5 |
+
tags:
|
| 6 |
+
- generated_from_trainer
|
| 7 |
+
metrics:
|
| 8 |
+
- f1
|
| 9 |
+
- accuracy
|
| 10 |
+
model-index:
|
| 11 |
+
- name: afro-xlmr-base-ptbr-MICRO
|
| 12 |
+
results: []
|
| 13 |
+
---
|
| 14 |
+
|
| 15 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 16 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 17 |
+
|
| 18 |
+
# afro-xlmr-base-ptbr-MICRO
|
| 19 |
+
|
| 20 |
+
This model is a fine-tuned version of [Davlan/afro-xlmr-base](https://huggingface.co/Davlan/afro-xlmr-base) on the None dataset.
|
| 21 |
+
It achieves the following results on the evaluation set:
|
| 22 |
+
- Loss: 0.5573
|
| 23 |
+
- F1: 0.6760
|
| 24 |
+
- Roc Auc: 0.8141
|
| 25 |
+
- Accuracy: 0.5860
|
| 26 |
+
|
| 27 |
+
## Model description
|
| 28 |
+
|
| 29 |
+
More information needed
|
| 30 |
+
|
| 31 |
+
## Intended uses & limitations
|
| 32 |
+
|
| 33 |
+
More information needed
|
| 34 |
+
|
| 35 |
+
## Training and evaluation data
|
| 36 |
+
|
| 37 |
+
More information needed
|
| 38 |
+
|
| 39 |
+
## Training procedure
|
| 40 |
+
|
| 41 |
+
### Training hyperparameters
|
| 42 |
+
|
| 43 |
+
The following hyperparameters were used during training:
|
| 44 |
+
- learning_rate: 2e-05
|
| 45 |
+
- train_batch_size: 16
|
| 46 |
+
- eval_batch_size: 16
|
| 47 |
+
- seed: 42
|
| 48 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 49 |
+
- lr_scheduler_type: cosine
|
| 50 |
+
- lr_scheduler_warmup_steps: 100
|
| 51 |
+
- num_epochs: 20
|
| 52 |
+
|
| 53 |
+
### Training results
|
| 54 |
+
|
| 55 |
+
| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
|
| 56 |
+
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|:--------:|
|
| 57 |
+
| 0.2255 | 1.0 | 728 | 0.2284 | 0.6554 | 0.7738 | 0.6118 |
|
| 58 |
+
| 0.1591 | 2.0 | 1456 | 0.2288 | 0.6718 | 0.8000 | 0.6183 |
|
| 59 |
+
| 0.1038 | 3.0 | 2184 | 0.2640 | 0.6774 | 0.8045 | 0.6129 |
|
| 60 |
+
| 0.0506 | 4.0 | 2912 | 0.3305 | 0.6603 | 0.8168 | 0.5570 |
|
| 61 |
+
| 0.0459 | 5.0 | 3640 | 0.3809 | 0.6521 | 0.8088 | 0.5505 |
|
| 62 |
+
| 0.0222 | 6.0 | 4368 | 0.3868 | 0.6463 | 0.7892 | 0.5720 |
|
| 63 |
+
| 0.0179 | 7.0 | 5096 | 0.4026 | 0.6816 | 0.8139 | 0.6 |
|
| 64 |
+
| 0.0087 | 8.0 | 5824 | 0.4520 | 0.6694 | 0.8083 | 0.5871 |
|
| 65 |
+
| 0.0058 | 9.0 | 6552 | 0.4769 | 0.6703 | 0.8048 | 0.5882 |
|
| 66 |
+
| 0.0064 | 10.0 | 7280 | 0.4871 | 0.6841 | 0.8187 | 0.5946 |
|
| 67 |
+
| 0.0025 | 11.0 | 8008 | 0.5414 | 0.6611 | 0.8152 | 0.5688 |
|
| 68 |
+
| 0.0042 | 12.0 | 8736 | 0.5374 | 0.6778 | 0.8154 | 0.5925 |
|
| 69 |
+
| 0.0013 | 13.0 | 9464 | 0.5331 | 0.6744 | 0.8081 | 0.5968 |
|
| 70 |
+
| 0.0048 | 14.0 | 10192 | 0.5573 | 0.6760 | 0.8141 | 0.5860 |
|
| 71 |
+
|
| 72 |
+
|
| 73 |
+
### Framework versions
|
| 74 |
+
|
| 75 |
+
- Transformers 4.45.1
|
| 76 |
+
- Pytorch 2.4.0
|
| 77 |
+
- Datasets 3.0.1
|
| 78 |
+
- Tokenizers 0.20.0
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1112217312
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4ff692978ca8c3c4b07c46f03514c6e358fce91bcb10207bf9c46c2ffa996a34
|
| 3 |
size 1112217312
|