aparajitha/mbart-ft-sci-ms-en-hi

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+library_name: transformers
+license: mit
+base_model: aparajitha/mbart-ft-sci-ms-en
+tags:
+- generated_from_trainer
+model-index:
+- name: mbart-ft-sci-ms-en-hi
+  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. -->
+
+# mbart-ft-sci-ms-en-hi
+
+This model is a fine-tuned version of [aparajitha/mbart-ft-sci-ms-en](https://huggingface.co/aparajitha/mbart-ft-sci-ms-en) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.6383
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 6
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.3573        | 1.0   | 697  | 2.5705          |
+| 2.2029        | 2.0   | 1394 | 2.5586          |
+| 2.0362        | 3.0   | 2091 | 2.5785          |
+| 1.952         | 4.0   | 2788 | 2.6015          |
+| 1.9094        | 5.0   | 3485 | 2.6182          |
+| 1.817         | 6.0   | 4182 | 2.6383          |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.3.1.post300
+- Datasets 2.19.1
+- Tokenizers 0.19.1

config.json

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+  "_num_labels": 3,
+  "activation_dropout": 0.0,
+  "activation_function": "gelu",
+  "add_bias_logits": false,
+  "add_final_layer_norm": true,
+  "architectures": [
+    "MBartForConditionalGeneration"
+  ],
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+  "decoder_ffn_dim": 4096,
+  "decoder_layerdrop": 0.0,
+  "decoder_layers": 12,
+  "decoder_start_token_id": 2,
+  "dropout": 0.1,
+  "early_stopping": true,
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+  "gradient_checkpointing": false,
+  "id2label": {
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+    "1": "LABEL_1",
+    "2": "LABEL_2"
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+  "model_type": "mbart",
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+  "num_beams": 5,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 1,
+  "scale_embedding": true,
+  "static_position_embeddings": false,
+  "tokenizer_class": "MBart50Tokenizer",
+  "torch_dtype": "float32",
+  "transformers_version": "4.44.2",
+  "use_cache": true,
+  "vocab_size": 250054
+}

generation_config.json

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+}

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+}

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