Commit
·
d980a2d
1
Parent(s):
7fe89f0
Uploaded Tapes based tableQA model fine-tuned on WTQ
Browse files- config.json +48 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +51 -0
config.json
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{
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"_name_or_path": "microsoft/tapex-large",
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"activation_dropout": 0.0,
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"activation_function": "gelu",
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"architectures": [
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"BartForConditionalGeneration"
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],
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"attention_dropout": 0.1,
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"bos_token_id": 0,
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"classifier_dropout": 0.0,
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"d_model": 1024,
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"decoder_attention_heads": 16,
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"decoder_ffn_dim": 4096,
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"decoder_layerdrop": 0.0,
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"decoder_layers": 12,
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"decoder_start_token_id": 2,
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"dropout": 0.1,
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"encoder_attention_heads": 16,
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"encoder_ffn_dim": 4096,
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"encoder_layerdrop": 0.0,
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"encoder_layers": 12,
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"eos_token_id": 2,
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"forced_bos_token_id": 0,
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"forced_eos_token_id": 2,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1",
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"2": "LABEL_2"
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},
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"init_std": 0.02,
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"is_encoder_decoder": true,
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1,
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"LABEL_2": 2
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},
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"max_length": 1024,
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"max_position_embeddings": 1024,
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"model_type": "bart",
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"num_beams": 4,
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"num_hidden_layers": 12,
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"pad_token_id": 1,
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"scale_embedding": false,
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"torch_dtype": "float32",
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"transformers_version": "4.24.0",
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"use_cache": true,
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"vocab_size": 50265
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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 sha256:7e4038c3ec71bc06f04d2f04369691254da18a5021dbc796fbe6b94dcb908712
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size 1625537793
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"cls_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"mask_token": {
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"content": "<mask>",
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"lstrip": true,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": {
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"content": "<pad>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"sep_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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}
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}
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