End of training

README.md

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+---
+base_model: ai4bharat/IndicBART
+tags:
+- generated_from_trainer
+model-index:
+- name: wsdbanglat5_2e4_IndicBART
+  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. -->
+
+# wsdbanglat5_2e4_IndicBART
+
+This model is a fine-tuned version of [ai4bharat/IndicBART](https://huggingface.co/ai4bharat/IndicBART) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0112
+
+## 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: 0.0002
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.0392        | 1.0   | 1481  | 0.0291          |
+| 0.023         | 2.0   | 2962  | 0.0183          |
+| 0.0191        | 3.0   | 4443  | 0.0180          |
+| 0.0146        | 4.0   | 5924  | 0.0137          |
+| 0.0146        | 5.0   | 7405  | 0.0128          |
+| 0.0121        | 6.0   | 8886  | 0.0123          |
+| 0.0122        | 7.0   | 10367 | 0.0118          |
+| 0.012         | 8.0   | 11848 | 0.0117          |
+| 0.0112        | 9.0   | 13329 | 0.0114          |
+| 0.0116        | 10.0  | 14810 | 0.0112          |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.1.2
+- Datasets 2.19.2
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 64000,
+  "eos_token_id": 64001,
+  "forced_eos_token_id": 2,
+  "pad_token_id": 0,
+  "transformers_version": "4.41.2"
+}