Model save
Browse files- README.md +77 -0
- model.safetensors +1 -1
README.md
ADDED
|
@@ -0,0 +1,77 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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_Graficos_2025_02_05
|
| 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_Graficos_2025_02_05
|
| 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: 0.4759
|
| 21 |
+
- Accuracy: 0.9390
|
| 22 |
+
|
| 23 |
+
## Model description
|
| 24 |
+
|
| 25 |
+
More information needed
|
| 26 |
+
|
| 27 |
+
## Intended uses & limitations
|
| 28 |
+
|
| 29 |
+
More information needed
|
| 30 |
+
|
| 31 |
+
## Training and evaluation data
|
| 32 |
+
|
| 33 |
+
More information needed
|
| 34 |
+
|
| 35 |
+
## Training procedure
|
| 36 |
+
|
| 37 |
+
### Training hyperparameters
|
| 38 |
+
|
| 39 |
+
The following hyperparameters were used during training:
|
| 40 |
+
- learning_rate: 5e-05
|
| 41 |
+
- train_batch_size: 4
|
| 42 |
+
- eval_batch_size: 2
|
| 43 |
+
- seed: 42
|
| 44 |
+
- gradient_accumulation_steps: 4
|
| 45 |
+
- total_train_batch_size: 16
|
| 46 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 47 |
+
- lr_scheduler_type: linear
|
| 48 |
+
- num_epochs: 50
|
| 49 |
+
|
| 50 |
+
### Training results
|
| 51 |
+
|
| 52 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
| 53 |
+
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
| 54 |
+
| 0.9692 | 1.0 | 29 | 0.4743 | 0.8171 |
|
| 55 |
+
| 0.3969 | 2.0 | 58 | 0.4462 | 0.8537 |
|
| 56 |
+
| 0.2314 | 3.0 | 87 | 0.6273 | 0.8171 |
|
| 57 |
+
| 0.0862 | 4.0 | 116 | 0.4788 | 0.9024 |
|
| 58 |
+
| 0.048 | 5.0 | 145 | 0.5119 | 0.9146 |
|
| 59 |
+
| 0.0463 | 6.0 | 174 | 0.3127 | 0.9268 |
|
| 60 |
+
| 0.0731 | 7.0 | 203 | 0.4811 | 0.9146 |
|
| 61 |
+
| 0.0296 | 8.0 | 232 | 0.3946 | 0.9268 |
|
| 62 |
+
| 0.0282 | 9.0 | 261 | 0.4970 | 0.9146 |
|
| 63 |
+
| 0.0062 | 10.0 | 290 | 0.4475 | 0.9268 |
|
| 64 |
+
| 0.0009 | 11.0 | 319 | 0.5711 | 0.9146 |
|
| 65 |
+
| 0.0006 | 12.0 | 348 | 0.4582 | 0.9390 |
|
| 66 |
+
| 0.0005 | 13.0 | 377 | 0.4506 | 0.9390 |
|
| 67 |
+
| 0.0004 | 14.0 | 406 | 0.4555 | 0.9390 |
|
| 68 |
+
| 0.0004 | 15.0 | 435 | 0.4661 | 0.9390 |
|
| 69 |
+
| 0.0003 | 16.0 | 464 | 0.4759 | 0.9390 |
|
| 70 |
+
|
| 71 |
+
|
| 72 |
+
### Framework versions
|
| 73 |
+
|
| 74 |
+
- Transformers 4.44.1
|
| 75 |
+
- Pytorch 2.4.1
|
| 76 |
+
- Datasets 2.19.1
|
| 77 |
+
- 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 439439360
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3cea260241c4f9f071bf60df3b0baa3efb84968de66c8b659acd35a11deda9d5
|
| 3 |
size 439439360
|