Model save
Browse files- README.md +89 -0
- model.safetensors +1 -1
README.md
ADDED
|
@@ -0,0 +1,89 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: transformers
|
| 3 |
+
base_model: dccuchile/bert-base-spanish-wwm-cased
|
| 4 |
+
tags:
|
| 5 |
+
- generated_from_trainer
|
| 6 |
+
metrics:
|
| 7 |
+
- accuracy
|
| 8 |
+
model-index:
|
| 9 |
+
- name: Neuria_BERT_Contexto_2025_02_06
|
| 10 |
+
results: []
|
| 11 |
+
---
|
| 12 |
+
|
| 13 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 14 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 15 |
+
|
| 16 |
+
# Neuria_BERT_Contexto_2025_02_06
|
| 17 |
+
|
| 18 |
+
This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-cased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased) on an unknown dataset.
|
| 19 |
+
It achieves the following results on the evaluation set:
|
| 20 |
+
- Loss: 0.0410
|
| 21 |
+
- Accuracy: 0.9318
|
| 22 |
+
- Precision Micro: 0.9741
|
| 23 |
+
- Recall Micro: 0.9464
|
| 24 |
+
- F1 Micro: 0.9601
|
| 25 |
+
- F1 Macro: 0.9682
|
| 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: 4
|
| 46 |
+
- eval_batch_size: 4
|
| 47 |
+
- seed: 42
|
| 48 |
+
- gradient_accumulation_steps: 4
|
| 49 |
+
- total_train_batch_size: 16
|
| 50 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 51 |
+
- lr_scheduler_type: linear
|
| 52 |
+
- num_epochs: 50
|
| 53 |
+
|
| 54 |
+
### Training results
|
| 55 |
+
|
| 56 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision Micro | Recall Micro | F1 Micro | F1 Macro |
|
| 57 |
+
|:-------------:|:-------:|:----:|:---------------:|:--------:|:---------------:|:------------:|:--------:|:--------:|
|
| 58 |
+
| 0.3099 | 0.9979 | 117 | 0.1863 | 0.5160 | 0.9382 | 0.5846 | 0.7203 | 0.4031 |
|
| 59 |
+
| 0.141 | 1.9957 | 234 | 0.1098 | 0.7846 | 0.9744 | 0.8291 | 0.8959 | 0.7057 |
|
| 60 |
+
| 0.0778 | 2.9936 | 351 | 0.0773 | 0.8571 | 0.9759 | 0.8811 | 0.9261 | 0.7911 |
|
| 61 |
+
| 0.0482 | 4.0 | 469 | 0.0655 | 0.8891 | 0.9713 | 0.9079 | 0.9385 | 0.8397 |
|
| 62 |
+
| 0.0346 | 4.9979 | 586 | 0.0560 | 0.9083 | 0.9787 | 0.9229 | 0.95 | 0.8944 |
|
| 63 |
+
| 0.026 | 5.9957 | 703 | 0.0517 | 0.9147 | 0.9688 | 0.9363 | 0.9523 | 0.9202 |
|
| 64 |
+
| 0.0202 | 6.9936 | 820 | 0.0452 | 0.9147 | 0.9703 | 0.9313 | 0.9504 | 0.9357 |
|
| 65 |
+
| 0.0167 | 8.0 | 938 | 0.0456 | 0.9339 | 0.9808 | 0.9414 | 0.9607 | 0.9575 |
|
| 66 |
+
| 0.0141 | 8.9979 | 1055 | 0.0423 | 0.9339 | 0.9691 | 0.9447 | 0.9567 | 0.9439 |
|
| 67 |
+
| 0.0124 | 9.9957 | 1172 | 0.0411 | 0.9296 | 0.9773 | 0.9380 | 0.9573 | 0.9424 |
|
| 68 |
+
| 0.0107 | 10.9936 | 1289 | 0.0404 | 0.9296 | 0.9756 | 0.9363 | 0.9556 | 0.9409 |
|
| 69 |
+
| 0.0093 | 12.0 | 1407 | 0.0469 | 0.9318 | 0.9690 | 0.9414 | 0.9550 | 0.9401 |
|
| 70 |
+
| 0.0084 | 12.9979 | 1524 | 0.0389 | 0.9275 | 0.9791 | 0.9414 | 0.9599 | 0.9683 |
|
| 71 |
+
| 0.0075 | 13.9957 | 1641 | 0.0374 | 0.9382 | 0.9776 | 0.9497 | 0.9635 | 0.9711 |
|
| 72 |
+
| 0.0069 | 14.9936 | 1758 | 0.0414 | 0.9232 | 0.9640 | 0.9430 | 0.9534 | 0.9408 |
|
| 73 |
+
| 0.0063 | 16.0 | 1876 | 0.0406 | 0.9296 | 0.9724 | 0.9447 | 0.9584 | 0.9571 |
|
| 74 |
+
| 0.0058 | 16.9979 | 1993 | 0.0421 | 0.9232 | 0.9706 | 0.9397 | 0.9549 | 0.9551 |
|
| 75 |
+
| 0.0057 | 17.9957 | 2110 | 0.0409 | 0.9254 | 0.9723 | 0.9397 | 0.9557 | 0.9415 |
|
| 76 |
+
| 0.005 | 18.9936 | 2227 | 0.0412 | 0.9232 | 0.9706 | 0.9414 | 0.9558 | 0.9424 |
|
| 77 |
+
| 0.0046 | 20.0 | 2345 | 0.0417 | 0.9275 | 0.9740 | 0.9430 | 0.9583 | 0.9565 |
|
| 78 |
+
| 0.0043 | 20.9979 | 2462 | 0.0403 | 0.9318 | 0.9741 | 0.9464 | 0.9601 | 0.9689 |
|
| 79 |
+
| 0.0041 | 21.9957 | 2579 | 0.0415 | 0.9360 | 0.9775 | 0.9464 | 0.9617 | 0.9592 |
|
| 80 |
+
| 0.0038 | 22.9936 | 2696 | 0.0412 | 0.9318 | 0.9758 | 0.9447 | 0.96 | 0.9690 |
|
| 81 |
+
| 0.0035 | 24.0 | 2814 | 0.0410 | 0.9318 | 0.9741 | 0.9464 | 0.9601 | 0.9682 |
|
| 82 |
+
|
| 83 |
+
|
| 84 |
+
### Framework versions
|
| 85 |
+
|
| 86 |
+
- Transformers 4.44.1
|
| 87 |
+
- Pytorch 2.4.1
|
| 88 |
+
- Datasets 2.19.1
|
| 89 |
+
- Tokenizers 0.19.1
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 439457816
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:aecf369c9683b44473118b61ee1ea5fb32f61bb934458d30777c08b7340c1904
|
| 3 |
size 439457816
|