Training complete

README.md

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+---
+base_model: silmi224/finetune-led-35000
+tags:
+- summarization
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: led-risalah_data_v17_3
+  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_v17_3
+
+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: 1.6551
+- Rouge1: 25.33
+- Rouge2: 12.4758
+- Rougel: 18.3801
+- Rougelsum: 24.0275
+
+## 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-05
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 200
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
+| 2.9826        | 1.0   | 20   | 2.5250          | 11.8736 | 3.4553  | 8.0701  | 10.4233   |
+| 2.5516        | 2.0   | 40   | 2.2001          | 15.7664 | 5.0213  | 10.8555 | 14.1975   |
+| 2.2334        | 3.0   | 60   | 2.0424          | 17.0425 | 6.006   | 10.956  | 15.2795   |
+| 1.9577        | 4.0   | 80   | 1.9305          | 19.1792 | 7.6754  | 12.651  | 17.7519   |
+| 1.8602        | 5.0   | 100  | 1.8351          | 22.4846 | 8.3095  | 14.0022 | 20.587    |
+| 1.702         | 6.0   | 120  | 1.7809          | 21.9395 | 8.5042  | 14.9427 | 20.3436   |
+| 1.6525        | 7.0   | 140  | 1.7286          | 23.7825 | 10.9231 | 15.9319 | 22.0902   |
+| 1.5285        | 8.0   | 160  | 1.6839          | 24.1286 | 11.2382 | 16.7057 | 22.3731   |
+| 1.4623        | 9.0   | 180  | 1.6644          | 23.8767 | 12.3834 | 17.5761 | 22.6869   |
+| 1.4175        | 10.0  | 200  | 1.6551          | 25.33   | 12.4758 | 18.3801 | 24.0275   |
+
+
+### 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
+}

runs/Jul14_13-01-21_a43527d48c8d/events.out.tfevents.1720962109.a43527d48c8d.34.0

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