first-commit

README.md

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+---
+language: id
+tags:
+  - roberta-base-indonesia
+license: mit
+datasets:
+  - wikipedia
+widget:
+  - text: "Gajah <mask> sedang makan di kebun binatang."
+---
+
+# Indonesian RoBERTa Base
+## How to Use
+
+### As Masked Language Model
+```python
+from transformers import pipeline
+
+pretrained_name = "akahana/tiny-roberta-indonesia"
+
+fill_mask = pipeline(
+    "fill-mask",
+    model=pretrained_name,
+    tokenizer=pretrained_name
+)
+
+fill_mask("ikiryo adalah <mask> hantu dalam mitologi jepang.")
+```
+
+### Feature Extraction in PyTorch
+```python
+from transformers import RobertaModel, RobertaTokenizerFast
+
+pretrained_name = "akahana/tiny-roberta-indonesia"
+model = RobertaModel.from_pretrained(pretrained_name)
+tokenizer = RobertaTokenizerFast.from_pretrained(pretrained_name)
+
+prompt = "ikiryo adalah <mask> hantu dalam mitologi jepang."
+encoded_input = tokenizer(prompt, return_tensors='pt')
+output = model(**encoded_input)
+```

all_results.json

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+{
+    "epoch": 20.0,
+    "eval_loss": 3.125084161758423,
+    "eval_runtime": 16.4094,
+    "eval_samples": 53825,
+    "eval_samples_per_second": 3280.126,
+    "eval_steps_per_second": 205.065,
+    "perplexity": 22.761810686928044,
+    "train_loss": 3.981161423732987,
+    "train_runtime": 4340.1096,
+    "train_samples": 215299,
+    "train_samples_per_second": 992.136,
+    "train_steps_per_second": 62.012
+}

config.json

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+{
+  "_name_or_path": "./smallroberta/output",
+  "architectures": [
+    "RobertaModel"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "classifier_dropout_prob": 0.1,
+  "embedding_size": 128,
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 128,
+  "initializer_range": 0.02,
+  "inner_group_num": 1,
+  "intermediate_size": 256,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 256,
+  "model_type": "roberta",
+  "num_attention_heads": 1,
+  "num_hidden_groups": 1,
+  "num_hidden_layers": 1,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.13.0.dev0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 5000
+}

eval_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 20.0,
+    "eval_loss": 3.125084161758423,
+    "eval_runtime": 16.4094,
+    "eval_samples": 53825,
+    "eval_samples_per_second": 3280.126,
+    "eval_steps_per_second": 205.065,
+    "perplexity": 22.761810686928044
+}

merges.txt

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