MuRIL_for_TamilQC

README.md

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+---
+license: cc-by-4.0
+base_model: l3cube-pune/tamil-bert
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- accuracy
+model-index:
+- name: Tamil-BERT-finetune-Tamil-questions
+  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. -->
+
+# Tamil-BERT-finetune-Tamil-questions
+
+This model is a fine-tuned version of [l3cube-pune/tamil-bert](https://huggingface.co/l3cube-pune/tamil-bert) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4260
+- Precision: 0.9180
+- Recall: 0.9178
+- Accuracy: 0.9178
+- F1-score: 0.9178
+
+## 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: 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 | Precision | Recall | Accuracy | F1-score |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:--------:|:--------:|
+| 1.53          | 1.0   | 305  | 1.2013          | 0.8733    | 0.8858 | 0.8858   | 0.8781   |
+| 0.9243        | 2.0   | 610  | 0.6998          | 0.8958    | 0.9078 | 0.9078   | 0.9012   |
+| 0.4855        | 3.0   | 915  | 0.4754          | 0.8848    | 0.8958 | 0.8958   | 0.8889   |
+| 0.2744        | 4.0   | 1220 | 0.4154          | 0.8906    | 0.9038 | 0.9038   | 0.8961   |
+| 0.1852        | 5.0   | 1525 | 0.4133          | 0.8852    | 0.8958 | 0.8958   | 0.8894   |
+| 0.1281        | 6.0   | 1830 | 0.4503          | 0.9030    | 0.8998 | 0.8998   | 0.9004   |
+| 0.0938        | 7.0   | 2135 | 0.4126          | 0.9148    | 0.9138 | 0.9138   | 0.9141   |
+| 0.0699        | 8.0   | 2440 | 0.3966          | 0.9201    | 0.9198 | 0.9198   | 0.9199   |
+| 0.0595        | 9.0   | 2745 | 0.4166          | 0.9183    | 0.9178 | 0.9178   | 0.9180   |
+| 0.0523        | 10.0  | 3050 | 0.4260          | 0.9180    | 0.9178 | 0.9178   | 0.9178   |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.1.2
+- Datasets 2.18.0
+- Tokenizers 0.15.2

config.json

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+{
+  "_name_or_path": "l3cube-pune/tamil-bert",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "embedding_size": 768,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "Abbreviation",
+    "1": "Description",
+    "2": "Entity",
+    "3": "Human",
+    "4": "Location",
+    "5": "Numeric"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Abbreviation": 0,
+    "Description": 1,
+    "Entity": 2,
+    "Human": 3,
+    "Location": 4,
+    "Numeric": 5
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.39.3",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 197285
+}

model.safetensors

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runs/May14_06-38-30_da90288f2825/events.out.tfevents.1715668729.da90288f2825.157.1

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special_tokens_map.json

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+{
+  "cls_token": {
+    "content": "[CLS]",
+    "lstrip": false,
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+}

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "lstrip": false,
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+      "special": true
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+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": false,
+  "lowercase": false,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "never_split": null,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": false,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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