Hugging Face's logo

choiruzzia
/
best_berita_roberta_model_fold_4

Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
Model card Files
xet
 Metrics Community
choiruzzia commited on
Commit
58f2002
·
verified ·
1 Parent(s): 6c36dae

Training fold 4

Browse files
Files changed (6) hide show
  1. README.md +76 -0
  2. config.json +39 -0
  3. model.safetensors +3 -0
  4. runs/Jul17_16-38-47_803f0230d769/events.out.tfevents.1721234329.803f0230d769.35.0 +3 -0
  5. runs/Jul17_16-38-47_803f0230d769/events.out.tfevents.1721237213.803f0230d769.35.1 +3 -0
  6. training_args.bin +3 -0
README.md ADDED
@@ -0,0 +1,76 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: mit
3
+ base_model: ayameRushia/roberta-base-indonesian-sentiment-analysis-smsa
4
+ tags:
5
+ - generated_from_trainer
6
+ metrics:
7
+ - accuracy
8
+ - precision
9
+ - recall
10
+ - f1
11
+ model-index:
12
+ - name: best_berita_roberta_model_fold_4
13
+ results: []
14
+ ---
15
+
16
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
17
+ should probably proofread and complete it, then remove this comment. -->
18
+
19
+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>]()
20
+ # best_berita_roberta_model_fold_4
21
+
22
+ This model is a fine-tuned version of [ayameRushia/roberta-base-indonesian-sentiment-analysis-smsa](https://huggingface.co/ayameRushia/roberta-base-indonesian-sentiment-analysis-smsa) on the None dataset.
23
+ It achieves the following results on the evaluation set:
24
+ - Loss: 0.1309
25
+ - Accuracy: 0.9808
26
+ - Precision: 0.9814
27
+ - Recall: 0.9809
28
+ - F1: 0.9811
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: 5e-05
48
+ - train_batch_size: 8
49
+ - eval_batch_size: 8
50
+ - seed: 42
51
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
52
+ - lr_scheduler_type: linear
53
+ - num_epochs: 10
54
+
55
+ ### Training results
56
+
57
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
58
+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
59
+ | 0.6294 | 1.0 | 601 | 0.2849 | 0.9217 | 0.9233 | 0.9253 | 0.9217 |
60
+ | 0.301 | 2.0 | 1202 | 0.3187 | 0.9409 | 0.9409 | 0.9428 | 0.9413 |
61
+ | 0.1565 | 3.0 | 1803 | 0.2576 | 0.9609 | 0.9609 | 0.9626 | 0.9611 |
62
+ | 0.0962 | 4.0 | 2404 | 0.3011 | 0.9567 | 0.9577 | 0.9593 | 0.9569 |
63
+ | 0.0322 | 5.0 | 3005 | 0.1309 | 0.9808 | 0.9814 | 0.9809 | 0.9811 |
64
+ | 0.0218 | 6.0 | 3606 | 0.2434 | 0.9667 | 0.9672 | 0.9684 | 0.9670 |
65
+ | 0.0127 | 7.0 | 4207 | 0.3759 | 0.9492 | 0.9509 | 0.9524 | 0.9492 |
66
+ | 0.0136 | 8.0 | 4808 | 0.3133 | 0.9642 | 0.9650 | 0.9664 | 0.9645 |
67
+ | 0.0024 | 9.0 | 5409 | 0.2968 | 0.9667 | 0.9674 | 0.9687 | 0.9671 |
68
+ | 0.0026 | 10.0 | 6010 | 0.2784 | 0.9684 | 0.9690 | 0.9703 | 0.9687 |
69
+
70
+
71
+ ### Framework versions
72
+
73
+ - Transformers 4.42.3
74
+ - Pytorch 2.1.2
75
+ - Datasets 2.20.0
76
+ - Tokenizers 0.19.1
config.json ADDED
@@ -0,0 +1,39 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "ayameRushia/roberta-base-indonesian-sentiment-analysis-smsa",
3
+ "architectures": [
4
+ "RobertaForSequenceClassification"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "bos_token_id": 0,
8
+ "classifier_dropout": null,
9
+ "eos_token_id": 2,
10
+ "gradient_checkpointing": false,
11
+ "hidden_act": "gelu",
12
+ "hidden_dropout_prob": 0.1,
13
+ "hidden_size": 768,
14
+ "id2label": {
15
+ "0": "POSITIVE",
16
+ "1": "NEUTRAL",
17
+ "2": "NEGATIVE"
18
+ },
19
+ "initializer_range": 0.02,
20
+ "intermediate_size": 3072,
21
+ "label2id": {
22
+ "NEGATIVE": 2,
23
+ "NEUTRAL": 1,
24
+ "POSITIVE": 0
25
+ },
26
+ "layer_norm_eps": 1e-05,
27
+ "max_position_embeddings": 514,
28
+ "model_type": "roberta",
29
+ "num_attention_heads": 12,
30
+ "num_hidden_layers": 12,
31
+ "pad_token_id": 1,
32
+ "position_embedding_type": "absolute",
33
+ "problem_type": "single_label_classification",
34
+ "torch_dtype": "float32",
35
+ "transformers_version": "4.42.3",
36
+ "type_vocab_size": 1,
37
+ "use_cache": true,
38
+ "vocab_size": 50265
39
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e4c5c9666957d22a3cb03afc3a6c9b2eb58262433b85bc75a10c790383884c59
3
+ size 498615900
runs/Jul17_16-38-47_803f0230d769/events.out.tfevents.1721234329.803f0230d769.35.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3798aa7e239cff2c79b75c4751940bab3a318ea5fd6c28d7843e97573b70e018
3
+ size 12840
runs/Jul17_16-38-47_803f0230d769/events.out.tfevents.1721237213.803f0230d769.35.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8f4b52700f1b16d36b680124801fda75aa25298dc588c2d91eb051536cf372e1
3
+ size 560
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:91b8f60ba5bfdba3c094ccfd12948587f33c02588c70bb792e7a408709f76d69
3
+ size 5176