Only embedding layer is frozen. 10 epochs. 0.00001 learning rate. 8 batch size. 512 max tokens. AllQuAD dataset.
Browse files- config.json +30 -0
- pytorch_model.bin +3 -0
config.json
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{
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"_name_or_path": "/home/kia/seyed_ali/others/NLP-project/weights-0/0",
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"architectures": [
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"BertModel"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"gradient_checkpointing": false,
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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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"intermediate_size": 3072,
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"language": "multilingual",
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"name": "DPRQuestionEncoder",
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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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"position_embedding_type": "absolute",
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"projection_dim": 0,
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"revision": null,
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"torch_dtype": "float32",
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"transformers_version": "4.26.1",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 119547
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:57bd5a5667113d1e71d2754a101d7e33f244774fa2960655d70bee4869e904a2
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size 711482157
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