kairos-posicao-bert2
Browse files- IA-AzMina/modelos/checkpoint-408/config.json +41 -0
- IA-AzMina/modelos/checkpoint-408/model.safetensors +3 -0
- IA-AzMina/modelos/checkpoint-408/optimizer.pt +3 -0
- IA-AzMina/modelos/checkpoint-408/rng_state.pth +3 -0
- IA-AzMina/modelos/checkpoint-408/scheduler.pt +3 -0
- IA-AzMina/modelos/checkpoint-408/trainer_state.json +370 -0
- IA-AzMina/modelos/checkpoint-408/training_args.bin +3 -0
- IA-AzMina/modelos/checkpoint-612/config.json +41 -0
- IA-AzMina/modelos/checkpoint-612/model.safetensors +3 -0
- IA-AzMina/modelos/checkpoint-612/optimizer.pt +3 -0
- IA-AzMina/modelos/checkpoint-612/rng_state.pth +3 -0
- IA-AzMina/modelos/checkpoint-612/scheduler.pt +3 -0
- IA-AzMina/modelos/checkpoint-612/trainer_state.json +541 -0
- IA-AzMina/modelos/checkpoint-612/training_args.bin +3 -0
- README.md +71 -0
- config.json +41 -0
- model.safetensors +3 -0
- training_args.bin +3 -0
IA-AzMina/modelos/checkpoint-408/config.json
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{
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"_name_or_path": "belisards/congretimbau",
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"architectures": [
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"BertForSequenceClassification"
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],
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"directionality": "bidi",
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"hidden_act": "gelu",
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"output_past": true,
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"pooler_type": "first_token_transform",
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.47.0",
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}
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IA-AzMina/modelos/checkpoint-408/model.safetensors
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IA-AzMina/modelos/checkpoint-408/optimizer.pt
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IA-AzMina/modelos/checkpoint-408/rng_state.pth
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IA-AzMina/modelos/checkpoint-408/scheduler.pt
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IA-AzMina/modelos/checkpoint-408/trainer_state.json
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README.md
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|
1 |
+
---
|
2 |
+
library_name: transformers
|
3 |
+
license: mit
|
4 |
+
base_model: belisards/congretimbau
|
5 |
+
tags:
|
6 |
+
- generated_from_trainer
|
7 |
+
metrics:
|
8 |
+
- accuracy
|
9 |
+
- f1
|
10 |
+
- recall
|
11 |
+
- precision
|
12 |
+
model-index:
|
13 |
+
- name: MyDrive
|
14 |
+
results: []
|
15 |
+
---
|
16 |
+
|
17 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
18 |
+
should probably proofread and complete it, then remove this comment. -->
|
19 |
+
|
20 |
+
# MyDrive
|
21 |
+
|
22 |
+
This model is a fine-tuned version of [belisards/congretimbau](https://huggingface.co/belisards/congretimbau) on the None dataset.
|
23 |
+
It achieves the following results on the evaluation set:
|
24 |
+
- Loss: 0.1271
|
25 |
+
- Accuracy: 0.8367
|
26 |
+
- F1: 0.7603
|
27 |
+
- Recall: 0.7548
|
28 |
+
- Precision: 0.7665
|
29 |
+
|
30 |
+
## Model description
|
31 |
+
|
32 |
+
More information needed
|
33 |
+
|
34 |
+
## Intended uses & limitations
|
35 |
+
|
36 |
+
More information needed
|
37 |
+
|
38 |
+
## Training and evaluation data
|
39 |
+
|
40 |
+
More information needed
|
41 |
+
|
42 |
+
## Training procedure
|
43 |
+
|
44 |
+
### Training hyperparameters
|
45 |
+
|
46 |
+
The following hyperparameters were used during training:
|
47 |
+
- learning_rate: 1e-05
|
48 |
+
- train_batch_size: 64
|
49 |
+
- eval_batch_size: 64
|
50 |
+
- seed: 5151
|
51 |
+
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
52 |
+
- lr_scheduler_type: linear
|
53 |
+
- lr_scheduler_warmup_steps: 150
|
54 |
+
- num_epochs: 14
|
55 |
+
|
56 |
+
### Training results
|
57 |
+
|
58 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Recall | Precision |
|
59 |
+
|:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|:------:|:---------:|
|
60 |
+
| 0.1299 | 2.8333 | 51 | 0.1261 | 0.75 | 0.5739 | 0.5733 | 0.6589 |
|
61 |
+
| 0.1037 | 5.6667 | 102 | 0.1088 | 0.8214 | 0.7172 | 0.6888 | 0.8124 |
|
62 |
+
| 0.0511 | 8.5 | 153 | 0.1180 | 0.8304 | 0.7652 | 0.7509 | 0.7860 |
|
63 |
+
| 0.0138 | 11.3333 | 204 | 0.1670 | 0.8304 | 0.7711 | 0.7622 | 0.7822 |
|
64 |
+
|
65 |
+
|
66 |
+
### Framework versions
|
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+
|
68 |
+
- Transformers 4.47.0
|
69 |
+
- Pytorch 2.5.1+cu121
|
70 |
+
- Datasets 3.2.0
|
71 |
+
- Tokenizers 0.21.0
|
config.json
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"problem_type": "single_label_classification",
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