Training complete

README.md

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+---
+base_model: silmi224/finetune-led-35000
+tags:
+- summarization
+- generated_from_trainer
+model-index:
+- name: led-risalah_data_v4.1
+  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_v4.1
+
+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: 1.6280
+- Rouge1 Precision: 0.6744
+- Rouge1 Recall: 0.1777
+- Rouge1 Fmeasure: 0.2803
+
+## 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: 4
+- total_train_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Rouge1 Precision | Rouge1 Recall | Rouge1 Fmeasure |
+|:-------------:|:------:|:----:|:---------------:|:----------------:|:-------------:|:---------------:|
+| 2.3322        | 0.9714 | 17   | 1.7433          | 0.6164           | 0.1561        | 0.2485          |
+| 1.5523        | 2.0    | 35   | 1.6294          | 0.6379           | 0.1588        | 0.2536          |
+| 1.3282        | 2.9714 | 52   | 1.6077          | 0.6252           | 0.1561        | 0.2491          |
+| 1.2231        | 4.0    | 70   | 1.5914          | 0.6599           | 0.1704        | 0.2706          |
+| 1.1213        | 4.9714 | 87   | 1.6090          | 0.6771           | 0.1707        | 0.272           |
+| 1.0491        | 6.0    | 105  | 1.6135          | 0.6656           | 0.17          | 0.2704          |
+| 0.9272        | 6.9714 | 122  | 1.6004          | 0.6758           | 0.1755        | 0.2783          |
+| 0.8667        | 8.0    | 140  | 1.6217          | 0.7048           | 0.1826        | 0.2896          |
+| 0.884         | 8.9714 | 157  | 1.6185          | 0.7143           | 0.1856        | 0.294           |
+| 0.8415        | 9.7143 | 170  | 1.6280          | 0.6744           | 0.1777        | 0.2803          |
+
+
+### 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/Jul07_06-49-23_613b577cb73c/events.out.tfevents.1720334967.613b577cb73c.675.0

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runs/Jul07_06-49-23_613b577cb73c/events.out.tfevents.1720338608.613b577cb73c.675.1

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