End of training

README.md

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+---
+license: apache-2.0
+base_model: mHossain/ml_sum_v1
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: ml_sum_v2
+  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_v2
+
+This model is a fine-tuned version of [mHossain/ml_sum_v1](https://huggingface.co/mHossain/ml_sum_v1) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.9401
+- Rouge1: 8.1448
+- Rouge2: 3.3615
+- Rougel: 7.4641
+- Rougelsum: 7.9361
+- 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: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| No log        | 1.0   | 312  | 2.1706          | 7.2919 | 2.8117 | 6.7418 | 7.1173    | 19.0    |
+| 2.4911        | 2.0   | 625  | 2.1012          | 7.7986 | 3.0952 | 7.1505 | 7.5818    | 19.0    |
+| 2.4911        | 3.0   | 937  | 2.0373          | 8.0535 | 3.2228 | 7.3877 | 7.8365    | 19.0    |
+| 2.3572        | 4.0   | 1250 | 1.9865          | 8.1591 | 3.31   | 7.4577 | 7.9114    | 19.0    |
+| 2.2455        | 4.99  | 1560 | 1.9401          | 8.1448 | 3.3615 | 7.4641 | 7.9361    | 19.0    |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- 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": "4.38.2"
+}

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