Training complete

README.md

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+---
+tags:
+- summarization
+- generated_from_trainer
+model-index:
+- name: led-risalah_data_v4
+  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. -->
+
+# led-risalah_data_v4
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6965
+- Rouge1 Precision: 0.7537
+- Rouge1 Recall: 0.2044
+- Rouge1 Fmeasure: 0.3201
+
+## 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: 1
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 30
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 Fmeasure | Rouge1 Precision | Rouge1 Recall |
+|:-------------:|:-----:|:----:|:---------------:|:---------------:|:----------------:|:-------------:|
+| 2.4649        | 0.91  | 8    | 1.9501          | 0.2231          | 0.5607           | 0.1407        |
+| 1.7599        | 1.94  | 17   | 1.7553          | 0.2741          | 0.657            | 0.1746        |
+| 1.4655        | 2.97  | 26   | 1.6912          | 0.2786          | 0.6685           | 0.1774        |
+| 1.2734        | 4.0   | 35   | 1.7006          | 0.2589          | 0.651            | 0.162         |
+| 1.2852        | 4.91  | 43   | 1.6481          | 0.2733          | 0.6657           | 0.1732        |
+| 1.1964        | 5.94  | 52   | 1.6380          | 0.263           | 0.6567           | 0.1655        |
+| 1.108         | 6.97  | 61   | 1.6441          | 0.2766          | 0.6757           | 0.1746        |
+| 1.1023        | 8.91  | 72   | 1.1080          | 0.2842          | 0.6932           | 0.1794        |
+| 1.2354        | 9.94  | 81   | 1.1105          | 0.2816          | 0.6858           | 0.1779        |
+| 1.1152        | 10.97 | 90   | 1.1317          | 0.2872          | 0.71             | 0.1804        |
+| 1.17          | 12.0  | 99   | 1.1206          | 0.2896          | 0.6942           | 0.1837        |
+| 1.0691        | 12.91 | 107  | 1.1037          | 0.2941          | 0.7234           | 0.1851        |
+| 0.9594        | 13.94 | 116  | 1.1145          | 0.2983          | 0.7299           | 0.1879        |
+| 1.0332        | 14.97 | 125  | 1.1295          | 0.2959          | 0.7243           | 0.1863        |
+| 0.9519        | 16.0  | 134  | 1.1271          | 0.2916          | 0.7114           | 0.1839        |
+| 0.8779        | 16.91 | 142  | 1.1314          | 0.2971          | 0.7192           | 0.1878        |
+| 0.944         | 18.91 | 152  | 0.8427          | 0.3212          | 0.7799           | 0.2036        |
+| 0.9652        | 19.94 | 161  | 0.8398          | 0.3075          | 0.7396           | 0.1951        |
+| 0.9622        | 20.97 | 170  | 0.8421          | 0.3255          | 0.7776           | 0.207         |
+| 0.9645        | 22.0  | 179  | 0.8550          | 0.3045          | 0.7283           | 0.1934        |
+| 0.8923        | 22.91 | 187  | 0.8556          | 0.3145          | 0.7585           | 0.1992        |
+| 0.8635        | 23.94 | 196  | 0.8622          | 0.3086          | 0.7445           | 0.1957        |
+| 0.827         | 24.97 | 205  | 0.8648          | 0.3047          | 0.7358           | 0.193         |
+| 0.8529        | 26.0  | 214  | 0.8650          | 0.3129          | 0.7586           | 0.1981        |
+| 0.7505        | 26.91 | 222  | 0.8719          | 0.3135          | 0.7591           | 0.1985        |
+| 0.7491        | 27.94 | 231  | 0.8710          | 0.3078          | 0.7419           | 0.1951        |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.1+cu121
+- Datasets 2.14.5
+- Tokenizers 0.15.1

config.json

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+{
+  "_name_or_path": "./finetune/led-risalah/checkpoint-240",
+  "activation_dropout": 0.0,
+  "activation_function": "gelu",
+  "architectures": [
+    "LEDForConditionalGeneration"
+  ],
+  "attention_dropout": 0.0,
+  "attention_window": [
+    1024,
+    1024,
+    1024,
+    1024,
+    1024,
+    1024
+  ],
+  "bos_token_id": 0,
+  "classif_dropout": 0.0,
+  "classifier_dropout": 0.0,
+  "d_model": 768,
+  "decoder_attention_heads": 12,
+  "decoder_ffn_dim": 3072,
+  "decoder_layerdrop": 0.0,
+  "decoder_layers": 6,
+  "decoder_start_token_id": 2,
+  "dropout": 0.1,
+  "early_stopping": true,
+  "encoder_attention_heads": 12,
+  "encoder_ffn_dim": 3072,
+  "encoder_layerdrop": 0.0,
+  "encoder_layers": 6,
+  "eos_token_id": 2,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2"
+  },
+  "init_std": 0.02,
+  "is_encoder_decoder": true,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2
+  },
+  "length_penalty": 2.0,
+  "max_decoder_position_embeddings": 1024,
+  "max_encoder_position_embeddings": 16384,
+  "max_length": 512,
+  "min_length": 124,
+  "model_type": "led",
+  "no_repeat_ngram_size": 3,
+  "num_beams": 2,
+  "num_hidden_layers": 6,
+  "pad_token_id": 1,
+  "torch_dtype": "float32",
+  "transformers_version": "4.35.2",
+  "use_cache": false,
+  "vocab_size": 50265
+}

generation_config.json

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+{
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "early_stopping": true,
+  "eos_token_id": 2,
+  "length_penalty": 2.0,
+  "max_length": 128,
+  "min_length": 40,
+  "no_repeat_ngram_size": 3,
+  "num_beams": 2,
+  "pad_token_id": 1,
+  "transformers_version": "4.35.2",
+  "use_cache": false
+}

model.safetensors

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runs/Jul05_11-35-16_nbzockupae/events.out.tfevents.1720179337.nbzockupae.81.0

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runs/Jul05_11-35-16_nbzockupae/events.out.tfevents.1720179587.nbzockupae.81.1

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special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
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+  "mask_token": {
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+    "single_word": false
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+  "sep_token": {
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+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "0": {
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+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
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+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "errors": "replace",
+  "mask_token": "<mask>",
+  "max_length": 128,
+  "model_max_length": 16384,
+  "pad_to_multiple_of": null,
+  "pad_token": "<pad>",
+  "pad_token_type_id": 0,
+  "padding_side": "right",
+  "sep_token": "</s>",
+  "stride": 0,
+  "tokenizer_class": "LEDTokenizer",
+  "trim_offsets": true,
+  "truncation_side": "right",
+  "truncation_strategy": "longest_first",
+  "unk_token": "<unk>"
+}

training_args.bin

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