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_v14
+  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_v14
+
+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: 1.7199
+- Rouge1 Precision: 0.6769
+- Rouge1 Recall: 0.1724
+- Rouge1 Fmeasure: 0.2744
+
+## 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: 2e-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 |
+|:-------------:|:------:|:----:|:---------------:|:----------------:|:-------------:|:---------------:|
+| 1.6706        | 0.9714 | 17   | 1.8400          | 0.6261           | 0.1547        | 0.2478          |
+| 1.5177        | 2.0    | 35   | 1.7573          | 0.6586           | 0.1669        | 0.266           |
+| 1.4016        | 2.9714 | 52   | 1.7266          | 0.6597           | 0.1689        | 0.2682          |
+| 1.3182        | 4.0    | 70   | 1.7403          | 0.6564           | 0.1667        | 0.2653          |
+| 1.217         | 4.9714 | 87   | 1.7272          | 0.657            | 0.1663        | 0.265           |
+| 1.1559        | 6.0    | 105  | 1.7288          | 0.6493           | 0.1698        | 0.2687          |
+| 1.1675        | 6.9714 | 122  | 1.7114          | 0.6727           | 0.1705        | 0.2717          |
+| 1.1193        | 8.0    | 140  | 1.7118          | 0.6764           | 0.1734        | 0.2758          |
+| 1.1101        | 8.9714 | 157  | 1.7232          | 0.6705           | 0.1726        | 0.2739          |
+| 1.147         | 9.7143 | 170  | 1.7199          | 0.6769           | 0.1724        | 0.2744          |
+
+
+### 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/Jul10_07-05-56_f20029054ef3/events.out.tfevents.1720595161.f20029054ef3.34.1

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runs/Jul10_07-05-56_f20029054ef3/events.out.tfevents.1720599150.f20029054ef3.34.2

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