End of training

.gitattributes

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README.md

@@ -0,0 +1,59 @@
+---
+library_name: transformers
+base_model: barghavani/English_to_Hindi
+tags:
+- generated_from_trainer
+model-index:
+- name: results
+  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. -->
+
+# results
+
+This model is a fine-tuned version of [barghavani/English_to_Hindi](https://huggingface.co/barghavani/English_to_Hindi) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5903
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 32   | 0.5924          |
+| No log        | 2.0   | 64   | 0.5910          |
+| No log        | 3.0   | 96   | 0.5903          |
+
+
+### Framework versions
+
+- Transformers 4.48.3
+- Pytorch 2.6.0+cu124
+- Datasets 3.4.0
+- Tokenizers 0.21.0

config.json

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+  "_name_or_path": "barghavani/English_to_Hindi",
+  "activation_dropout": 0.0,
+  "activation_function": "swish",
+  "add_bias_logits": false,
+  "add_final_layer_norm": false,
+  "architectures": [
+    "MarianMTModel"
+  ],
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+  "bos_token_id": 0,
+  "classif_dropout": 0.0,
+  "classifier_dropout": 0.0,
+  "d_model": 512,
+  "decoder_attention_heads": 8,
+  "decoder_ffn_dim": 2048,
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+  "decoder_vocab_size": 61950,
+  "dropout": 0.1,
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+  "extra_pos_embeddings": 61950,
+  "forced_eos_token_id": 0,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2"
+  },
+  "init_std": 0.02,
+  "is_encoder_decoder": true,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2
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+  "max_length": null,
+  "max_position_embeddings": 512,
+  "model_type": "marian",
+  "normalize_before": false,
+  "normalize_embedding": false,
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+  "num_hidden_layers": 6,
+  "pad_token_id": 61949,
+  "scale_embedding": true,
+  "share_encoder_decoder_embeddings": true,
+  "static_position_embeddings": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.48.3",
+  "use_cache": true,
+  "vocab_size": 61950
+}

generation_config.json

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+  "max_length": 512,
+  "num_beams": 4,
+  "pad_token_id": 61949,
+  "transformers_version": "4.48.3"
+}

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special_tokens_map.json

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tokenizer_config.json

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+  "source_lang": "eng",
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+  "target_lang": "hin",
+  "tokenizer_class": "MarianTokenizer",
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+}

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