Training in progress, step 200
Browse files- .gitignore +1 -0
- config.json +47 -0
- logs/1682621784.6926582/events.out.tfevents.1682621784.datascience-1-0-ml-t3-medium-1abf3407f667f989be9d86559395.1725.1 +3 -0
- logs/1682621844.6065404/events.out.tfevents.1682621844.datascience-1-0-ml-t3-medium-1abf3407f667f989be9d86559395.1846.1 +3 -0
- logs/1682623352.8356087/events.out.tfevents.1682623352.datascience-1-0-ml-g4dn-xlarge-94fad2f4401e538ca1255dfa1e84.1335.1 +3 -0
- logs/events.out.tfevents.1682621784.datascience-1-0-ml-t3-medium-1abf3407f667f989be9d86559395.1725.0 +3 -0
- logs/events.out.tfevents.1682621844.datascience-1-0-ml-t3-medium-1abf3407f667f989be9d86559395.1846.0 +3 -0
- logs/events.out.tfevents.1682623352.datascience-1-0-ml-g4dn-xlarge-94fad2f4401e538ca1255dfa1e84.1335.0 +3 -0
- pytorch_model.bin +3 -0
- training_args.bin +3 -0
.gitignore
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checkpoint-*/
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config.json
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{
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"_name_or_path": "SCUT-DLVCLab/lilt-roberta-en-base",
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"architectures": [
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"LiltForTokenClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"channel_shrink_ratio": 4,
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"classifier_dropout": null,
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"eos_token_id": 2,
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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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"id2label": {
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"0": "O",
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"1": "B-HEADER",
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"2": "I-HEADER",
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"3": "B-QUESTION",
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"4": "I-QUESTION",
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"5": "B-ANSWER",
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"6": "I-ANSWER"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"B-ANSWER": 5,
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"B-HEADER": 1,
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"B-QUESTION": 3,
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"I-ANSWER": 6,
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"I-HEADER": 2,
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"I-QUESTION": 4,
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"O": 0
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},
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"layer_norm_eps": 1e-05,
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"max_2d_position_embeddings": 1024,
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"max_position_embeddings": 514,
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"model_type": "lilt",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.28.1",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 50265
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}
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logs/1682621784.6926582/events.out.tfevents.1682621784.datascience-1-0-ml-t3-medium-1abf3407f667f989be9d86559395.1725.1
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pytorch_model.bin
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training_args.bin
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