thenlpresearcher/sample-en-mar-with-punct

README.md

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+---
+library_name: transformers
+license: mit
+base_model: ai4bharat/indictrans2-en-indic-dist-200M
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: tmp-test-indictrans
+  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. -->
+
+# tmp-test-indictrans
+
+This model is a fine-tuned version of [ai4bharat/indictrans2-en-indic-dist-200M](https://huggingface.co/ai4bharat/indictrans2-en-indic-dist-200M) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 6.7067
+- Bleu: 26.3133
+- Chrf: 53.2344
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- training_steps: 40
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Bleu    | Chrf    |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
+| 7.0819        | 0.4   | 20   | 7.0516          | 25.3893 | 52.3501 |
+| 6.3118        | 0.8   | 40   | 6.7067          | 26.3133 | 53.2344 |
+
+
+### Framework versions
+
+- Transformers 4.50.3
+- Pytorch 2.4.0a0+f70bd71a48.nv24.06
+- Datasets 3.6.0
+- Tokenizers 0.21.4

generation_config.json

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+{
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "eos_token_id": 2,
+  "pad_token_id": 1,
+  "transformers_version": "4.50.3"
+}