End of training

README.md

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+---
+base_model: facebook/mbart-large-50
+library_name: peft
+license: mit
+tags:
+- generated_from_trainer
+model-index:
+- name: mbart-large-50_Nepali_News_Summarization_QLoRA_8bit
+  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. -->
+
+# mbart-large-50_Nepali_News_Summarization_QLoRA_8bit
+
+This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3724
+- Rouge-1 R: 0.3809
+- Rouge-1 P: 0.3877
+- Rouge-1 F: 0.3745
+- Rouge-2 R: 0.2144
+- Rouge-2 P: 0.2176
+- Rouge-2 F: 0.2093
+- Rouge-l R: 0.3702
+- Rouge-l P: 0.3766
+- Rouge-l F: 0.364
+- Gen Len: 14.0747
+
+## 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: 0.0005
+- train_batch_size: 5
+- eval_batch_size: 5
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rouge-1 R | Rouge-1 P | Rouge-1 F | Rouge-2 R | Rouge-2 P | Rouge-2 F | Rouge-l R | Rouge-l P | Rouge-l F | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:---------:|:---------:|:---------:|:---------:|:---------:|:---------:|:---------:|:---------:|:---------:|:-------:|
+| 1.5604        | 1.0   | 10191 | 1.5916          | 0.3605    | 0.3694    | 0.3536    | 0.1948    | 0.2008    | 0.19      | 0.3501    | 0.3586    | 0.3433    | 14.7262 |
+| 1.5482        | 2.0   | 20382 | 1.3992          | 0.3673    | 0.3879    | 0.3672    | 0.2034    | 0.2149    | 0.202     | 0.3577    | 0.3775    | 0.3575    | 13.7928 |
+| 1.2397        | 3.0   | 30573 | 1.3724          | 0.3809    | 0.3877    | 0.3745    | 0.2144    | 0.2176    | 0.2093    | 0.3702    | 0.3766    | 0.364     | 14.0747 |
+
+
+### Framework versions
+
+- PEFT 0.11.1
+- Transformers 4.42.3
+- Pytorch 2.1.2
+- Datasets 2.20.0
+- Tokenizers 0.19.1

runs/Jul20_15-29-11_7b1aecd2a4bc/events.out.tfevents.1721489353.7b1aecd2a4bc.23.0

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