Training complete

README.md

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+---
+base_model: silmi224/finetune-led-35000
+tags:
+- summarization
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: exp2-led-risalah_data_v3
+  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. -->
+
+# exp2-led-risalah_data_v3
+
+This model is a fine-tuned version of [silmi224/finetune-led-35000](https://huggingface.co/silmi224/finetune-led-35000) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.9287
+- Rouge1: 16.3563
+- Rouge2: 6.3361
+- Rougel: 10.2361
+- Rougelsum: 15.4499
+
+## 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: 1e-06
+- 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
+- lr_scheduler_warmup_steps: 150
+- num_epochs: 20
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
+| 3.3696        | 1.0   | 10   | 2.9032          | 8.9827  | 2.4864 | 6.5741  | 8.374     |
+| 3.3479        | 2.0   | 20   | 2.8646          | 9.4368  | 2.6548 | 6.6897  | 8.9073    |
+| 3.2858        | 3.0   | 30   | 2.8050          | 8.3204  | 2.4233 | 6.4571  | 7.8334    |
+| 3.204         | 4.0   | 40   | 2.7299          | 7.9763  | 2.7995 | 6.1867  | 7.5793    |
+| 3.0987        | 5.0   | 50   | 2.6458          | 9.4672  | 2.877  | 7.2221  | 8.8929    |
+| 2.9964        | 6.0   | 60   | 2.5576          | 9.3123  | 2.635  | 6.8591  | 8.8136    |
+| 2.8831        | 7.0   | 70   | 2.4682          | 9.8347  | 2.8621 | 7.3463  | 9.346     |
+| 2.7834        | 8.0   | 80   | 2.3818          | 9.756   | 2.6064 | 7.3736  | 9.0638    |
+| 2.6712        | 9.0   | 90   | 2.3005          | 10.6798 | 3.5515 | 7.9318  | 9.5388    |
+| 2.5781        | 10.0  | 100  | 2.2261          | 11.4114 | 3.5141 | 8.0732  | 10.6929   |
+| 2.4807        | 11.0  | 110  | 2.1623          | 12.9396 | 4.3079 | 9.1668  | 11.7355   |
+| 2.403         | 12.0  | 120  | 2.1101          | 13.27   | 4.7477 | 9.0288  | 12.277    |
+| 2.3358        | 13.0  | 130  | 2.0644          | 15.1784 | 5.3452 | 10.1318 | 13.8506   |
+| 2.2701        | 14.0  | 140  | 2.0249          | 14.1959 | 5.2981 | 10.2128 | 12.8727   |
+| 2.2032        | 15.0  | 150  | 1.9925          | 14.4716 | 5.5627 | 9.58    | 13.7089   |
+| 2.1608        | 16.0  | 160  | 1.9685          | 14.2815 | 5.9009 | 9.516   | 13.4755   |
+| 2.1338        | 17.0  | 170  | 1.9509          | 15.6523 | 6.3449 | 10.2105 | 14.9489   |
+| 2.104         | 18.0  | 180  | 1.9383          | 16.3987 | 7.0987 | 10.8261 | 15.8296   |
+| 2.0896        | 19.0  | 190  | 1.9308          | 16.0883 | 6.3808 | 10.0722 | 15.17     |
+| 2.0758        | 20.0  | 200  | 1.9287          | 16.3563 | 6.3361 | 10.2361 | 15.4499   |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.1.2
+- Datasets 2.19.2
+- Tokenizers 0.19.1

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": "4.41.2",
+  "use_cache": false
+}

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