End of training

README.md

@@ -0,0 +1,57 @@
+---
+license: apache-2.0
+base_model: patrickxchong/bert-tiny-bahasa-cased-sentiment
+tags:
+- generated_from_trainer
+model-index:
+- name: fine-tuned-tiny-bert-base-uncased
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# fine-tuned-tiny-bert-base-uncased
+
+This model is a fine-tuned version of [patrickxchong/bert-tiny-bahasa-cased-sentiment](https://huggingface.co/patrickxchong/bert-tiny-bahasa-cased-sentiment) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 0.2820
+- eval_accuracy: {'accuracy': 0.9294436906377205}
+- eval_f1score: {'f1': 0.9289729111393984}
+- eval_runtime: 8.9977
+- eval_samples_per_second: 81.91
+- eval_steps_per_second: 10.336
+- step: 0
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 515
+- num_epochs: 7
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1

config.json

@@ -0,0 +1,35 @@
+{
+  "_name_or_path": "patrickxchong/bert-tiny-bahasa-cased-sentiment",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 336,
+  "id2label": {
+    "0": "negative",
+    "1": "positive"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 1344,
+  "label2id": {
+    "negative": 0,
+    "positive": 1
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 4,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.35.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 32000
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ba70b3f29eda22cec36db8e5db37fdc9b01e6b1ab4d7b44c50d354bf6baab240
+size 65911360

runs/Nov06_06-37-19_6736d7d5201a/events.out.tfevents.1699252646.6736d7d5201a.562.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ea5392ad86bb4c0ac2eedd6998603934e2914066962f911aa73b421af0be8333
+size 7267

runs/Nov06_06-37-19_6736d7d5201a/events.out.tfevents.1699253243.6736d7d5201a.562.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:060cdd1d13306016c36e801b293ad5421c4dda1eec5ba2a939e0442020a99245
+size 297

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0e0f3de7ecf8c890147fbec73145adde9b2376ba6e69c2fe70352be5d3b279d0
+size 4600