Instructions to use Abdoel03/Indobert-Halim-modelMBG with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Abdoel03/Indobert-Halim-modelMBG with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Abdoel03/Indobert-Halim-modelMBG")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Abdoel03/Indobert-Halim-modelMBG") model = AutoModelForSequenceClassification.from_pretrained("Abdoel03/Indobert-Halim-modelMBG", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload 9 files
Browse files- README.md +3 -3
- config.json +44 -0
- mbg_preprocessing.csv +0 -0
- model.safetensors +3 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- trainer_state.json +75 -0
- training_args.bin +3 -0
README.md
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
-
---
|
| 2 |
-
license: apache-2.0
|
| 3 |
-
---
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
---
|
config.json
ADDED
|
@@ -0,0 +1,44 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_num_labels": 5,
|
| 3 |
+
"add_cross_attention": false,
|
| 4 |
+
"architectures": [
|
| 5 |
+
"BertForSequenceClassification"
|
| 6 |
+
],
|
| 7 |
+
"attention_probs_dropout_prob": 0.1,
|
| 8 |
+
"bos_token_id": null,
|
| 9 |
+
"classifier_dropout": null,
|
| 10 |
+
"decoder_start_token_id": null,
|
| 11 |
+
"directionality": "bidi",
|
| 12 |
+
"dtype": "float32",
|
| 13 |
+
"eos_token_id": null,
|
| 14 |
+
"finetuning_task": null,
|
| 15 |
+
"hidden_act": "gelu",
|
| 16 |
+
"hidden_dropout_prob": 0.1,
|
| 17 |
+
"hidden_size": 768,
|
| 18 |
+
"initializer_range": 0.02,
|
| 19 |
+
"intermediate_size": 3072,
|
| 20 |
+
"is_decoder": false,
|
| 21 |
+
"layer_norm_eps": 1e-12,
|
| 22 |
+
"max_position_embeddings": 512,
|
| 23 |
+
"model_type": "bert",
|
| 24 |
+
"num_attention_heads": 12,
|
| 25 |
+
"num_hidden_layers": 12,
|
| 26 |
+
"output_past": true,
|
| 27 |
+
"pad_token_id": 0,
|
| 28 |
+
"pooler_fc_size": 768,
|
| 29 |
+
"pooler_num_attention_heads": 12,
|
| 30 |
+
"pooler_num_fc_layers": 3,
|
| 31 |
+
"pooler_size_per_head": 128,
|
| 32 |
+
"pooler_type": "first_token_transform",
|
| 33 |
+
"prefix": null,
|
| 34 |
+
"problem_type": "single_label_classification",
|
| 35 |
+
"pruned_heads": {},
|
| 36 |
+
"task_specific_params": null,
|
| 37 |
+
"tie_word_embeddings": true,
|
| 38 |
+
"torchscript": false,
|
| 39 |
+
"transformers_version": "5.13.1",
|
| 40 |
+
"type_vocab_size": 2,
|
| 41 |
+
"use_bfloat16": false,
|
| 42 |
+
"use_cache": false,
|
| 43 |
+
"vocab_size": 50000
|
| 44 |
+
}
|
mbg_preprocessing.csv
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:47cc5d6720b14c538ab2b0f6a20051174f8dd5ee6f6543362df2a0b574356f86
|
| 3 |
+
size 497795072
|
optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:93bc9d651bdc2700ea55900731c2c9996799cc9c66ed4e89fe12e76a4294e714
|
| 3 |
+
size 995714443
|
rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8256ac0134803a475840d835e7f872d1d79ed39fc42f3674f13442a79bf3d2b6
|
| 3 |
+
size 14645
|
scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1b8cbc8816e4a06570df52fe92e3f1840eefa89f6d1884679cb2160af0b62d7d
|
| 3 |
+
size 1465
|
trainer_state.json
ADDED
|
@@ -0,0 +1,75 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": 422,
|
| 3 |
+
"best_metric": 0.11706770956516266,
|
| 4 |
+
"best_model_checkpoint": "./results/checkpoint-422",
|
| 5 |
+
"epoch": 3.0,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 1266,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 1.0,
|
| 14 |
+
"eval_accuracy": 0.968583283935981,
|
| 15 |
+
"eval_loss": 0.11706770956516266,
|
| 16 |
+
"eval_runtime": 12.1043,
|
| 17 |
+
"eval_samples_per_second": 139.372,
|
| 18 |
+
"eval_steps_per_second": 8.757,
|
| 19 |
+
"step": 422
|
| 20 |
+
},
|
| 21 |
+
{
|
| 22 |
+
"epoch": 1.1848341232227488,
|
| 23 |
+
"grad_norm": 0.7388460636138916,
|
| 24 |
+
"learning_rate": 1.2116903633491312e-05,
|
| 25 |
+
"loss": 0.12352166748046875,
|
| 26 |
+
"step": 500
|
| 27 |
+
},
|
| 28 |
+
{
|
| 29 |
+
"epoch": 2.0,
|
| 30 |
+
"eval_accuracy": 0.973325429756965,
|
| 31 |
+
"eval_loss": 0.12481112033128738,
|
| 32 |
+
"eval_runtime": 12.1825,
|
| 33 |
+
"eval_samples_per_second": 138.477,
|
| 34 |
+
"eval_steps_per_second": 8.701,
|
| 35 |
+
"step": 844
|
| 36 |
+
},
|
| 37 |
+
{
|
| 38 |
+
"epoch": 2.3696682464454977,
|
| 39 |
+
"grad_norm": 0.02850360795855522,
|
| 40 |
+
"learning_rate": 4.218009478672986e-06,
|
| 41 |
+
"loss": 0.04376292037963867,
|
| 42 |
+
"step": 1000
|
| 43 |
+
},
|
| 44 |
+
{
|
| 45 |
+
"epoch": 3.0,
|
| 46 |
+
"eval_accuracy": 0.969768820391227,
|
| 47 |
+
"eval_loss": 0.15332327783107758,
|
| 48 |
+
"eval_runtime": 12.1589,
|
| 49 |
+
"eval_samples_per_second": 138.746,
|
| 50 |
+
"eval_steps_per_second": 8.718,
|
| 51 |
+
"step": 1266
|
| 52 |
+
}
|
| 53 |
+
],
|
| 54 |
+
"logging_steps": 500,
|
| 55 |
+
"max_steps": 1266,
|
| 56 |
+
"num_input_tokens_seen": 0,
|
| 57 |
+
"num_train_epochs": 3,
|
| 58 |
+
"save_steps": 500,
|
| 59 |
+
"stateful_callbacks": {
|
| 60 |
+
"TrainerControl": {
|
| 61 |
+
"args": {
|
| 62 |
+
"should_epoch_stop": false,
|
| 63 |
+
"should_evaluate": false,
|
| 64 |
+
"should_log": false,
|
| 65 |
+
"should_save": true,
|
| 66 |
+
"should_training_stop": true
|
| 67 |
+
},
|
| 68 |
+
"attributes": {}
|
| 69 |
+
}
|
| 70 |
+
},
|
| 71 |
+
"total_flos": 1331013051302400.0,
|
| 72 |
+
"train_batch_size": 16,
|
| 73 |
+
"trial_name": null,
|
| 74 |
+
"trial_params": null
|
| 75 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:38ae7365fff5c6521054bf5f6d7d8ce38ce45190234164d6a530c6fd68b367e0
|
| 3 |
+
size 5201
|