KevinAlejandro17/beto-prostata-fullft
Browse files- README.md +65 -0
- adapter_config.json +39 -0
- adapter_model.safetensors +3 -0
- runs/Jul29_08-01-43_064669238be2/events.out.tfevents.1753776105.064669238be2.36494.5 +3 -0
- runs/Jul29_08-01-43_064669238be2/events.out.tfevents.1753776382.064669238be2.36494.6 +3 -0
- special_tokens_map.json +37 -0
- tokenizer.json +0 -0
- tokenizer_config.json +58 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
README.md
ADDED
@@ -0,0 +1,65 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
base_model: dccuchile/bert-base-spanish-wwm-cased
|
4 |
+
tags:
|
5 |
+
- base_model:adapter:dccuchile/bert-base-spanish-wwm-cased
|
6 |
+
- lora
|
7 |
+
- transformers
|
8 |
+
metrics:
|
9 |
+
- f1
|
10 |
+
model-index:
|
11 |
+
- name: beto-prostata-fullft
|
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 |
+
# beto-prostata-fullft
|
19 |
+
|
20 |
+
This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-cased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased) on the None dataset.
|
21 |
+
It achieves the following results on the evaluation set:
|
22 |
+
- Report: {'BIOMARCADOR': {'precision': 0.08163265306122448, 'recall': 0.00847457627118644, 'f1-score': 0.015355086372360842, 'support': 472}, 'CANCER': {'precision': 0.5559174809989142, 'recall': 0.4970873786407767, 'f1-score': 0.5248590466427472, 'support': 1030}, 'CIRUGIA': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 306}, 'DOSIS': {'precision': 0.1111111111111111, 'recall': 0.008097165991902834, 'f1-score': 0.01509433962264151, 'support': 247}, 'EDAD': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 93}, 'FECHA': {'precision': 0.48116325181758096, 'recall': 0.7599164926931107, 'f1-score': 0.5892351274787536, 'support': 958}, 'GLEASON': {'precision': 0.7075, 'recall': 0.6316964285714286, 'f1-score': 0.6674528301886793, 'support': 448}, 'MEDICAMENTO': {'precision': 0.6852248394004282, 'recall': 0.8888888888888888, 'f1-score': 0.7738814993954051, 'support': 360}, 'TNM': {'precision': 0.7696245733788396, 'recall': 0.8351851851851851, 'f1-score': 0.8010657193605684, 'support': 540}, 'TRATAMIENTO': {'precision': 0.4125, 'recall': 0.2426470588235294, 'f1-score': 0.3055555555555555, 'support': 408}, 'micro avg': {'precision': 0.5720076299475441, 'recall': 0.4934183463595228, 'f1-score': 0.5298144876325088, 'support': 4862}, 'macro avg': {'precision': 0.38046739097680987, 'recall': 0.38719931750660086, 'f1-score': 0.36924992046167116, 'support': 4862}, 'weighted avg': {'precision': 0.4621683811534748, 'recall': 0.4934183463595228, 'f1-score': 0.46296304723353965, 'support': 4862}}
|
23 |
+
- Loss: 0.7854
|
24 |
+
- F1: 0.5298
|
25 |
+
|
26 |
+
## Model description
|
27 |
+
|
28 |
+
More information needed
|
29 |
+
|
30 |
+
## Intended uses & limitations
|
31 |
+
|
32 |
+
More information needed
|
33 |
+
|
34 |
+
## Training and evaluation data
|
35 |
+
|
36 |
+
More information needed
|
37 |
+
|
38 |
+
## Training procedure
|
39 |
+
|
40 |
+
### Training hyperparameters
|
41 |
+
|
42 |
+
The following hyperparameters were used during training:
|
43 |
+
- learning_rate: 3e-05
|
44 |
+
- train_batch_size: 16
|
45 |
+
- eval_batch_size: 16
|
46 |
+
- seed: 42
|
47 |
+
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
48 |
+
- lr_scheduler_type: linear
|
49 |
+
- num_epochs: 5
|
50 |
+
- mixed_precision_training: Native AMP
|
51 |
+
|
52 |
+
### Training results
|
53 |
+
|
54 |
+
| Training Loss | Epoch | Step | Report | Validation Loss | F1 |
|
55 |
+
|:-------------:|:------:|:----:|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|:---------------:|:------:|
|
56 |
+
| 0.9684 | 2.5773 | 500 | {'BIOMARCADOR': {'precision': 0.08163265306122448, 'recall': 0.00847457627118644, 'f1-score': 0.015355086372360842, 'support': 472}, 'CANCER': {'precision': 0.5559174809989142, 'recall': 0.4970873786407767, 'f1-score': 0.5248590466427472, 'support': 1030}, 'CIRUGIA': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 306}, 'DOSIS': {'precision': 0.1111111111111111, 'recall': 0.008097165991902834, 'f1-score': 0.01509433962264151, 'support': 247}, 'EDAD': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 93}, 'FECHA': {'precision': 0.48116325181758096, 'recall': 0.7599164926931107, 'f1-score': 0.5892351274787536, 'support': 958}, 'GLEASON': {'precision': 0.7075, 'recall': 0.6316964285714286, 'f1-score': 0.6674528301886793, 'support': 448}, 'MEDICAMENTO': {'precision': 0.6852248394004282, 'recall': 0.8888888888888888, 'f1-score': 0.7738814993954051, 'support': 360}, 'TNM': {'precision': 0.7696245733788396, 'recall': 0.8351851851851851, 'f1-score': 0.8010657193605684, 'support': 540}, 'TRATAMIENTO': {'precision': 0.4125, 'recall': 0.2426470588235294, 'f1-score': 0.3055555555555555, 'support': 408}, 'micro avg': {'precision': 0.5720076299475441, 'recall': 0.4934183463595228, 'f1-score': 0.5298144876325088, 'support': 4862}, 'macro avg': {'precision': 0.38046739097680987, 'recall': 0.38719931750660086, 'f1-score': 0.36924992046167116, 'support': 4862}, 'weighted avg': {'precision': 0.4621683811534748, 'recall': 0.4934183463595228, 'f1-score': 0.46296304723353965, 'support': 4862}} | 0.7854 | 0.5298 |
|
57 |
+
|
58 |
+
|
59 |
+
### Framework versions
|
60 |
+
|
61 |
+
- PEFT 0.16.0
|
62 |
+
- Transformers 4.53.3
|
63 |
+
- Pytorch 2.6.0+cu124
|
64 |
+
- Datasets 4.0.0
|
65 |
+
- Tokenizers 0.21.2
|
adapter_config.json
ADDED
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "dccuchile/bert-base-spanish-wwm-cased",
|
5 |
+
"bias": "none",
|
6 |
+
"corda_config": null,
|
7 |
+
"eva_config": null,
|
8 |
+
"exclude_modules": null,
|
9 |
+
"fan_in_fan_out": false,
|
10 |
+
"inference_mode": true,
|
11 |
+
"init_lora_weights": true,
|
12 |
+
"layer_replication": null,
|
13 |
+
"layers_pattern": null,
|
14 |
+
"layers_to_transform": null,
|
15 |
+
"loftq_config": {},
|
16 |
+
"lora_alpha": 32,
|
17 |
+
"lora_bias": false,
|
18 |
+
"lora_dropout": 0.05,
|
19 |
+
"megatron_config": null,
|
20 |
+
"megatron_core": "megatron.core",
|
21 |
+
"modules_to_save": [
|
22 |
+
"classifier",
|
23 |
+
"score"
|
24 |
+
],
|
25 |
+
"peft_type": "LORA",
|
26 |
+
"qalora_group_size": 16,
|
27 |
+
"r": 16,
|
28 |
+
"rank_pattern": {},
|
29 |
+
"revision": null,
|
30 |
+
"target_modules": [
|
31 |
+
"value",
|
32 |
+
"query"
|
33 |
+
],
|
34 |
+
"task_type": "TOKEN_CLS",
|
35 |
+
"trainable_token_indices": null,
|
36 |
+
"use_dora": false,
|
37 |
+
"use_qalora": false,
|
38 |
+
"use_rslora": false
|
39 |
+
}
|
adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5e802bdd1c741d830558d0625a1b903e79b3f6a271676618f562e3d51c14262b
|
3 |
+
size 2430860
|
runs/Jul29_08-01-43_064669238be2/events.out.tfevents.1753776105.064669238be2.36494.5
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9460d63f101244432c830f9928d0772f57b47f5ccb78227d32fca57fdac601a0
|
3 |
+
size 8964
|
runs/Jul29_08-01-43_064669238be2/events.out.tfevents.1753776382.064669238be2.36494.6
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:94af3d153f5328e35e7dc636d2dacea590809de908a6ccd5b574d457ebbdbbad
|
3 |
+
size 722
|
special_tokens_map.json
ADDED
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"cls_token": {
|
3 |
+
"content": "[CLS]",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"mask_token": {
|
10 |
+
"content": "[MASK]",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": {
|
17 |
+
"content": "[PAD]",
|
18 |
+
"lstrip": false,
|
19 |
+
"normalized": false,
|
20 |
+
"rstrip": false,
|
21 |
+
"single_word": false
|
22 |
+
},
|
23 |
+
"sep_token": {
|
24 |
+
"content": "[SEP]",
|
25 |
+
"lstrip": false,
|
26 |
+
"normalized": false,
|
27 |
+
"rstrip": false,
|
28 |
+
"single_word": false
|
29 |
+
},
|
30 |
+
"unk_token": {
|
31 |
+
"content": "[UNK]",
|
32 |
+
"lstrip": false,
|
33 |
+
"normalized": false,
|
34 |
+
"rstrip": false,
|
35 |
+
"single_word": false
|
36 |
+
}
|
37 |
+
}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1,58 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"added_tokens_decoder": {
|
3 |
+
"0": {
|
4 |
+
"content": "[MASK]",
|
5 |
+
"lstrip": false,
|
6 |
+
"normalized": false,
|
7 |
+
"rstrip": false,
|
8 |
+
"single_word": false,
|
9 |
+
"special": true
|
10 |
+
},
|
11 |
+
"1": {
|
12 |
+
"content": "[PAD]",
|
13 |
+
"lstrip": false,
|
14 |
+
"normalized": false,
|
15 |
+
"rstrip": false,
|
16 |
+
"single_word": false,
|
17 |
+
"special": true
|
18 |
+
},
|
19 |
+
"3": {
|
20 |
+
"content": "[UNK]",
|
21 |
+
"lstrip": false,
|
22 |
+
"normalized": false,
|
23 |
+
"rstrip": false,
|
24 |
+
"single_word": false,
|
25 |
+
"special": true
|
26 |
+
},
|
27 |
+
"4": {
|
28 |
+
"content": "[CLS]",
|
29 |
+
"lstrip": false,
|
30 |
+
"normalized": false,
|
31 |
+
"rstrip": false,
|
32 |
+
"single_word": false,
|
33 |
+
"special": true
|
34 |
+
},
|
35 |
+
"5": {
|
36 |
+
"content": "[SEP]",
|
37 |
+
"lstrip": false,
|
38 |
+
"normalized": false,
|
39 |
+
"rstrip": false,
|
40 |
+
"single_word": false,
|
41 |
+
"special": true
|
42 |
+
}
|
43 |
+
},
|
44 |
+
"clean_up_tokenization_spaces": false,
|
45 |
+
"cls_token": "[CLS]",
|
46 |
+
"do_basic_tokenize": true,
|
47 |
+
"do_lower_case": false,
|
48 |
+
"extra_special_tokens": {},
|
49 |
+
"mask_token": "[MASK]",
|
50 |
+
"model_max_length": 512,
|
51 |
+
"never_split": null,
|
52 |
+
"pad_token": "[PAD]",
|
53 |
+
"sep_token": "[SEP]",
|
54 |
+
"strip_accents": false,
|
55 |
+
"tokenize_chinese_chars": true,
|
56 |
+
"tokenizer_class": "BertTokenizer",
|
57 |
+
"unk_token": "[UNK]"
|
58 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5598a7211b1aec055eecf44a119097a3da100eae728756bf4c8e3d2a760d13d2
|
3 |
+
size 5368
|
vocab.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|