End of training

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: google/mt5-base
+model-index:
+- name: mt5-base_Nepali_News_Summarization_QLoRA_4bit
+  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. -->
+
+# mt5-base_Nepali_News_Summarization_QLoRA_4bit
+
+This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: nan
+- Rouge-1 R: 0.0
+- Rouge-1 P: 0.0
+- Rouge-1 F: 0.0
+- Rouge-2 R: 0.0
+- Rouge-2 P: 0.0
+- Rouge-2 F: 0.0
+- Rouge-l R: 0.0
+- Rouge-l P: 0.0
+- Rouge-l F: 0.0
+- Gen Len: 0.0
+
+## 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: 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
+
+### 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 |
+|:-------------:|:-----:|:-----:|:---------------:|:---------:|:---------:|:---------:|:---------:|:---------:|:---------:|:---------:|:---------:|:---------:|:-------:|
+| 0.0           | 1.0   | 10191 | nan             | 0.0       | 0.0       | 0.0       | 0.0       | 0.0       | 0.0       | 0.0       | 0.0       | 0.0       | 0.0     |
+| 0.0           | 2.0   | 20382 | nan             | 0.0       | 0.0       | 0.0       | 0.0       | 0.0       | 0.0       | 0.0       | 0.0       | 0.0       | 0.0     |
+| 0.0           | 3.0   | 30573 | nan             | 0.0       | 0.0       | 0.0       | 0.0       | 0.0       | 0.0       | 0.0       | 0.0       | 0.0       | 0.0     |
+
+
+### Framework versions
+
+- PEFT 0.12.0
+- Transformers 4.41.2
+- Pytorch 2.1.2
+- Datasets 2.19.2
+- Tokenizers 0.19.1

runs/Jul24_15-57-32_f7dad734ff9f/events.out.tfevents.1721836653.f7dad734ff9f.24.0

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