initial commit bert2bert-dropout-0.3-lr-5e-05-ds-canonical

README.md

@@ -0,0 +1,56 @@
+---
+tags:
+- generated_from_trainer
+datasets:
+- id_liputan6
+model-index:
+- name: bert2bert-dropout-0.3-lr-5e-05-ds-canonical
+  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. -->
+
+# bert2bert-dropout-0.3-lr-5e-05-ds-canonical
+
+This model is a fine-tuned version of [](https://huggingface.co/) on the id_liputan6 dataset.
+
+## 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: 5e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
+|:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:|
+| No log        | 1.0   | 2    | 10.9413         | 0.0              | 0.0           | 0.0             |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.0

config.json

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+{
+  "architectures": [
+    "EncoderDecoderModel"
+  ],
+  "decoder": {
+    "_name_or_path": "indolem/indobert-base-uncased",
+    "add_cross_attention": true,
+    "architectures": [
+      "BertForMaskedLM"
+    ],
+    "attention_probs_dropout_prob": 0.3,
+    "bad_words_ids": null,
+    "begin_suppress_tokens": null,
+    "bos_token_id": 0,
+    "chunk_size_feed_forward": 0,
+    "classifier_dropout": null,
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+    "decoder_start_token_id": null,
+    "diversity_penalty": 0.0,
+    "do_sample": false,
+    "early_stopping": false,
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+    "eos_token_id": null,
+    "eos_token_ids": 0,
+    "exponential_decay_length_penalty": null,
+    "finetuning_task": null,
+    "forced_bos_token_id": null,
+    "forced_eos_token_id": null,
+    "hidden_act": "gelu",
+    "hidden_dropout_prob": 0.3,
+    "hidden_size": 768,
+    "id2label": {
+      "0": "LABEL_0",
+      "1": "LABEL_1"
+    },
+    "initializer_range": 0.02,
+    "intermediate_size": 3072,
+    "is_decoder": true,
+    "is_encoder_decoder": false,
+    "label2id": {
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+      "LABEL_1": 1
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+    "layer_norm_eps": 1e-12,
+    "length_penalty": 1.0,
+    "max_length": 20,
+    "max_position_embeddings": 512,
+    "min_length": 0,
+    "model_type": "bert",
+    "no_repeat_ngram_size": 0,
+    "num_attention_heads": 12,
+    "num_beam_groups": 1,
+    "num_beams": 1,
+    "num_hidden_layers": 12,
+    "num_return_sequences": 1,
+    "output_attentions": false,
+    "output_hidden_states": false,
+    "output_past": true,
+    "output_scores": false,
+    "pad_token_id": 0,
+    "position_embedding_type": "absolute",
+    "prefix": null,
+    "problem_type": null,
+    "pruned_heads": {},
+    "remove_invalid_values": false,
+    "repetition_penalty": 1.0,
+    "return_dict": true,
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+    "temperature": 1.0,
+    "tf_legacy_loss": false,
+    "tie_encoder_decoder": false,
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+    "tokenizer_class": null,
+    "top_k": 50,
+    "top_p": 1.0,
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+    "typical_p": 1.0,
+    "use_bfloat16": false,
+    "use_cache": true,
+    "vocab_size": 31923
+  },
+  "decoder_start_token_id": 3,
+  "early_stopping": true,
+  "encoder": {
+    "_name_or_path": "indolem/indobert-base-uncased",
+    "add_cross_attention": false,
+    "architectures": [
+      "BertForMaskedLM"
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+    "bad_words_ids": null,
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+    "classifier_dropout": null,
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+    "diversity_penalty": 0.0,
+    "do_sample": false,
+    "early_stopping": false,
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+    "eos_token_ids": 0,
+    "exponential_decay_length_penalty": null,
+    "finetuning_task": null,
+    "forced_bos_token_id": null,
+    "forced_eos_token_id": null,
+    "hidden_act": "gelu",
+    "hidden_dropout_prob": 0.3,
+    "hidden_size": 768,
+    "id2label": {
+      "0": "LABEL_0",
+      "1": "LABEL_1"
+    },
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+    "intermediate_size": 3072,
+    "is_decoder": false,
+    "is_encoder_decoder": false,
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+      "LABEL_1": 1
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+    "model_type": "bert",
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+    "num_attention_heads": 12,
+    "num_beam_groups": 1,
+    "num_beams": 1,
+    "num_hidden_layers": 12,
+    "num_return_sequences": 1,
+    "output_attentions": false,
+    "output_hidden_states": false,
+    "output_past": true,
+    "output_scores": false,
+    "pad_token_id": 0,
+    "position_embedding_type": "absolute",
+    "prefix": null,
+    "problem_type": null,
+    "pruned_heads": {},
+    "remove_invalid_values": false,
+    "repetition_penalty": 1.0,
+    "return_dict": true,
+    "return_dict_in_generate": false,
+    "sep_token_id": null,
+    "suppress_tokens": null,
+    "task_specific_params": null,
+    "temperature": 1.0,
+    "tf_legacy_loss": false,
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+    "top_p": 1.0,
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+    "typical_p": 1.0,
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+    "use_cache": true,
+    "vocab_size": 31923
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+  "eos_token_id": 4,
+  "is_encoder_decoder": true,
+  "length_penalty": 2.0,
+  "max_length": 100,
+  "min_length": 10,
+  "model_type": "encoder-decoder",
+  "no_repeat_ngram_size": 3,
+  "num_beams": 4,
+  "pad_token_id": 0,
+  "torch_dtype": "float32",
+  "transformers_version": "4.35.2",
+  "vocab_size": 31923
+}

generation_config.json

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+{
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+  "decoder_start_token_id": 3,
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+  "length_penalty": 2.0,
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+  "min_length": 10,
+  "no_repeat_ngram_size": 3,
+  "num_beams": 4,
+  "pad_token_id": 0,
+  "transformers_version": "4.35.2"
+}

model.safetensors

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+size 998132132

runs/Jan23_20-01-48_26aca68a179e/events.out.tfevents.1706040108.26aca68a179e.548.0

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special_tokens_map.json

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+  "mask_token": "[MASK]",
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+  "sep_token": "[SEP]",
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tokenizer_config.json

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+      "lstrip": false,
+      "normalized": false,
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+  "tokenizer_class": "BertTokenizer",
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+}

training_args.bin

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