First model version

README.md

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+---
+tags:
+- Buddhist Sanskrit
+- BERT
+- name: bert-base-buddhist-sanskrit
+---
+
+<!-- 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. -->
+
+# bert-base-buddhist-sanskrit
+
+The best performing model of the research described in the paper 'Embeddings models for Buddhist Sanskrit' published at LREC 2022 (Link to the paper will be added after 
+the publication of conference proceedings).
+
+## Model description
+
+The model has the bert-base architecture and configuration and was pretrained from scratch as a masked language model 
+on the Sanskrit reference corpus, and fine-tuned on the smaller corpus of Buddhist Sanskrit. 
+
+## Intended uses & limitations
+
+MIT license, no limitations
+
+## Training and evaluation data
+
+See the paper 'Embeddings models for Buddhist Sanskrit' for details on the corpora and the evaluation procedure.
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 28
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 300.0
+
+### Framework versions
+
+- Transformers 4.11.2
+- Pytorch 1.7.0
+- Datasets 1.12.1
+- Tokenizers 0.10.3

config.json

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+{
+  "_name_or_path": "models_reference_all_tokens",
+  "architectures": [
+    "BertForMaskedLM"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "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",
+  "torch_dtype": "float32",
+  "transformers_version": "4.11.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30000
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:084c4bca318749e6c79b84f839468eb39ac60d5f02886b89e9fc728600bb7f94
+size 436539612

special_tokens_map.json

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+{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}

tokenizer_config.json

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+{"special_tokens_map_file": "models_reference_all_tokens/special_tokens_map.json", "name_or_path": "models_reference_all_tokens", "tokenizer_class": "PreTrainedTokenizerFast"}