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Training in progress, epoch 1

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  1. README.md +61 -0
  2. config.json +36 -0
  3. model.safetensors +3 -0
  4. pytorch_model.bin +3 -0
  5. runs/Dec17_18-07-57_pooj/events.out.tfevents.1734439082.pooj.16592.0 +3 -0
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  24. tokenizer_config.json +58 -0
  25. training_args.bin +3 -0
  26. vocab.txt +0 -0
README.md ADDED
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+ ---
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+ license: mit
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+ base_model: ai4bharat/indic-bert
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: test_model
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # test_model
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+
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+ This model is a fine-tuned version of [ai4bharat/indic-bert](https://huggingface.co/ai4bharat/indic-bert) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.5251
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+ - Accuracy: 0.7788
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 2
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 65 | 0.5317 | 0.7788 |
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+ | No log | 2.0 | 130 | 0.5251 | 0.7788 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.2
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+ - Pytorch 2.3.0+cpu
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+ - Datasets 2.17.0
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+ - Tokenizers 0.19.1
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+ "ElectraForSequenceClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "embedding_size": 768,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 768,
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+ "initializer_range": 0.02,
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+ "layer_norm_eps": 1e-12,
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+ "model_type": "electra",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "pad_token_id": 0,
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+ "pooler_fc_size": 768,
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+ "pooler_num_attention_heads": 12,
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+ "pooler_num_fc_layers": 3,
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+ "pooler_size_per_head": 128,
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+ "pooler_type": "first_token_transform",
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+ "position_embedding_type": "absolute",
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+ "problem_type": "single_label_classification",
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+ "summary_activation": "gelu",
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+ "summary_last_dropout": 0.1,
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+ "summary_type": "first",
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+ "summary_use_proj": true,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.41.2",
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+ "type_vocab_size": 2,
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+ "use_cache": true,
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+ "vocab_size": 39930
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+ }
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