End of training

README.md

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+---
+license: apache-2.0
+base_model: mHossain/Albaniani_sum_v1
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: ml_sum_v1
+ 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. -->
+
+# ml_sum_v1
+
+This model is a fine-tuned version of [mHossain/Albaniani_sum_v1](https://huggingface.co/mHossain/Albaniani_sum_v1) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.2080
+- Rouge1: 6.9869
+- Rouge2: 2.6256
+- Rougel: 6.4271
+- Rougelsum: 6.8073
+- Gen Len: 19.0
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 5000
+- num_epochs: 2
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| No log | 1.0 | 312 | 2.5009 | 5.4872 | 1.8136 | 5.032 | 5.3296 | 18.985 |
+| 3.2952 | 2.0 | 624 | 2.2080 | 6.9869 | 2.6256 | 6.4271 | 6.8073 | 19.0 |
+
+
+### Framework versions
+
+- Transformers 4.38.1
+- Pytorch 2.1.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

generation_config.json

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+ "decoder_start_token_id": 0,
+ "eos_token_id": 1,
+ "pad_token_id": 0,
+ "transformers_version": "4.38.1"
+}

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