Training complete!

README.md

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+---
+base_model: csebuetnlp/mT5_m2o_hindi_crossSum
+tags:
+- generated_from_trainer
+model-index:
+- name: mT5_m2o_hindi_crossSum
+  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_m2o_hindi_crossSum
+
+This model is a fine-tuned version of [csebuetnlp/mT5_m2o_hindi_crossSum](https://huggingface.co/csebuetnlp/mT5_m2o_hindi_crossSum) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2619
+
+## 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: 5e-05
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 16
+- 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: 500
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.3978        | 0.4   | 500  | 1.3409          |
+| 1.4257        | 0.8   | 1000 | 1.2619          |
+
+
+### Framework versions
+
+- Transformers 4.42.3
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "_from_model_config": true,
+  "decoder_start_token_id": 250021,
+  "eos_token_id": 1,
+  "length_penalty": 0.6,
+  "max_length": 84,
+  "num_beams": 4,
+  "pad_token_id": 0,
+  "transformers_version": "4.42.3"
+}

tokenizer.json

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