Instructions to use xshubhamx/bart-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xshubhamx/bart-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="xshubhamx/bart-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("xshubhamx/bart-base") model = AutoModelForSequenceClassification.from_pretrained("xshubhamx/bart-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files- training_checkpoints/checkpoint-643/config.json +100 -0
- training_checkpoints/checkpoint-643/merges.txt +0 -0
- training_checkpoints/checkpoint-643/model.safetensors +3 -0
- training_checkpoints/checkpoint-643/optimizer.pt +3 -0
- training_checkpoints/checkpoint-643/rng_state.pth +3 -0
- training_checkpoints/checkpoint-643/scheduler.pt +3 -0
- training_checkpoints/checkpoint-643/special_tokens_map.json +15 -0
- training_checkpoints/checkpoint-643/tokenizer.json +0 -0
- training_checkpoints/checkpoint-643/tokenizer_config.json +57 -0
- training_checkpoints/checkpoint-643/trainer_state.json +47 -0
- training_checkpoints/checkpoint-643/training_args.bin +3 -0
- training_checkpoints/checkpoint-643/vocab.json +0 -0
training_checkpoints/checkpoint-643/config.json
ADDED
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{
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"_name_or_path": "facebook/bart-base",
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"activation_dropout": 0.1,
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"activation_function": "gelu",
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| 5 |
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"add_bias_logits": false,
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| 6 |
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"add_final_layer_norm": false,
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| 7 |
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"architectures": [
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"BartForSequenceClassification"
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],
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| 10 |
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"attention_dropout": 0.1,
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| 11 |
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"bos_token_id": 0,
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| 12 |
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"classif_dropout": 0.1,
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| 13 |
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"classifier_dropout": 0.0,
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| 14 |
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"d_model": 768,
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| 15 |
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"decoder_attention_heads": 12,
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| 16 |
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"decoder_ffn_dim": 3072,
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| 17 |
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"decoder_layerdrop": 0.0,
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| 18 |
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"decoder_layers": 6,
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| 19 |
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"decoder_start_token_id": 2,
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| 20 |
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"dropout": 0.1,
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| 21 |
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"early_stopping": true,
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| 22 |
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"encoder_attention_heads": 12,
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| 23 |
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"encoder_ffn_dim": 3072,
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| 24 |
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"encoder_layerdrop": 0.0,
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| 25 |
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"encoder_layers": 6,
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| 26 |
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"eos_token_id": 2,
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| 27 |
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"forced_bos_token_id": 0,
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| 28 |
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"forced_eos_token_id": 2,
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| 29 |
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"gradient_checkpointing": false,
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| 30 |
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"id2label": {
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"0": "Issue",
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"1": "Court Discourse",
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"2": "Conclusion",
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"3": "Precedent Analysis",
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"4": "Section Analysis",
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"5": "Argument by Petitioner",
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"6": "Fact",
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"7": "Argument by Respondent",
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"8": "Ratio",
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"9": "Appellant",
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"10": "Respondent",
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"11": "Argument by Appellant",
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"12": "Petitioner",
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"13": "Judge",
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"14": "Argument by Defendant"
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},
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"init_std": 0.02,
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| 48 |
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"is_encoder_decoder": true,
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"label2id": {
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"Appellant": 9,
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"Argument by Appellant": 11,
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| 52 |
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"Argument by Defendant": 14,
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| 53 |
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"Argument by Petitioner": 5,
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| 54 |
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"Argument by Respondent": 7,
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"Conclusion": 2,
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| 56 |
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"Court Discourse": 1,
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"Fact": 6,
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"Issue": 0,
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"Judge": 13,
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"Petitioner": 12,
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"Precedent Analysis": 3,
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"Ratio": 8,
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| 63 |
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"Respondent": 10,
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| 64 |
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"Section Analysis": 4
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},
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| 66 |
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"max_position_embeddings": 1024,
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| 67 |
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"model_type": "bart",
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| 68 |
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"no_repeat_ngram_size": 3,
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| 69 |
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"normalize_before": false,
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| 70 |
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"normalize_embedding": true,
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| 71 |
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"num_beams": 4,
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| 72 |
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"num_hidden_layers": 6,
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| 73 |
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"pad_token_id": 1,
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| 74 |
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"problem_type": "single_label_classification",
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| 75 |
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"scale_embedding": false,
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"task_specific_params": {
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| 77 |
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"summarization": {
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| 78 |
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"length_penalty": 1.0,
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| 79 |
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"max_length": 128,
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| 80 |
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"min_length": 12,
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| 81 |
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"num_beams": 4
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| 82 |
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},
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| 83 |
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"summarization_cnn": {
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| 84 |
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"length_penalty": 2.0,
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| 85 |
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"max_length": 142,
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| 86 |
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"min_length": 56,
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| 87 |
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"num_beams": 4
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},
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| 89 |
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"summarization_xsum": {
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| 90 |
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"length_penalty": 1.0,
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| 91 |
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"max_length": 62,
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| 92 |
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"min_length": 11,
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| 93 |
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"num_beams": 6
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| 94 |
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}
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| 95 |
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},
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| 96 |
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"torch_dtype": "float32",
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| 97 |
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"transformers_version": "4.35.2",
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| 98 |
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"use_cache": true,
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"vocab_size": 50265
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}
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training_checkpoints/checkpoint-643/merges.txt
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training_checkpoints/checkpoint-643/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:d546daa71207b3a4e7b666829059aa0a1fd6365ceaf5c90efc48533149163830
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size 560120380
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training_checkpoints/checkpoint-643/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:38db39bc543348f050edf50e526b52da3c47327207e242407dee607b4c6a56f3
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size 1120400122
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training_checkpoints/checkpoint-643/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:a418ce2823fc045183ca0ba7e43f23c7cebc7f165b7f36a7689f7ecef57d220d
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size 14244
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training_checkpoints/checkpoint-643/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:aea532c95464312c54e4657a477505fef99360b4f1c689edb7b3a832016ef21e
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size 1064
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training_checkpoints/checkpoint-643/special_tokens_map.json
ADDED
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{
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"bos_token": "<s>",
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"cls_token": "<s>",
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| 4 |
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"eos_token": "</s>",
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| 5 |
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"mask_token": {
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"content": "<mask>",
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"lstrip": true,
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| 8 |
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"normalized": true,
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| 9 |
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"rstrip": false,
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| 10 |
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"single_word": false
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| 11 |
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},
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| 12 |
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"pad_token": "<pad>",
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| 13 |
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"sep_token": "</s>",
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| 14 |
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"unk_token": "<unk>"
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| 15 |
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}
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training_checkpoints/checkpoint-643/tokenizer.json
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training_checkpoints/checkpoint-643/tokenizer_config.json
ADDED
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{
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"add_prefix_space": false,
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| 3 |
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"added_tokens_decoder": {
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| 4 |
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"0": {
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| 5 |
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"content": "<s>",
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| 6 |
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"lstrip": false,
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| 7 |
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"normalized": true,
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| 8 |
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"rstrip": false,
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| 9 |
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"single_word": false,
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| 10 |
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"special": true
|
| 11 |
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},
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| 12 |
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"1": {
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| 13 |
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"content": "<pad>",
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| 14 |
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"lstrip": false,
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| 15 |
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"normalized": true,
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| 16 |
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"rstrip": false,
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| 17 |
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"single_word": false,
|
| 18 |
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"special": true
|
| 19 |
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},
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| 20 |
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"2": {
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| 21 |
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"content": "</s>",
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| 22 |
+
"lstrip": false,
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| 23 |
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"normalized": true,
|
| 24 |
+
"rstrip": false,
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| 25 |
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"single_word": false,
|
| 26 |
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"special": true
|
| 27 |
+
},
|
| 28 |
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"3": {
|
| 29 |
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"content": "<unk>",
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| 30 |
+
"lstrip": false,
|
| 31 |
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"normalized": true,
|
| 32 |
+
"rstrip": false,
|
| 33 |
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"single_word": false,
|
| 34 |
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"special": true
|
| 35 |
+
},
|
| 36 |
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"50264": {
|
| 37 |
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"content": "<mask>",
|
| 38 |
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"lstrip": true,
|
| 39 |
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"normalized": true,
|
| 40 |
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"rstrip": false,
|
| 41 |
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"single_word": false,
|
| 42 |
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"special": true
|
| 43 |
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}
|
| 44 |
+
},
|
| 45 |
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"bos_token": "<s>",
|
| 46 |
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"clean_up_tokenization_spaces": true,
|
| 47 |
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"cls_token": "<s>",
|
| 48 |
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"eos_token": "</s>",
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| 49 |
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"errors": "replace",
|
| 50 |
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"mask_token": "<mask>",
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| 51 |
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"model_max_length": 1024,
|
| 52 |
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"pad_token": "<pad>",
|
| 53 |
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"sep_token": "</s>",
|
| 54 |
+
"tokenizer_class": "BartTokenizer",
|
| 55 |
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"trim_offsets": true,
|
| 56 |
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"unk_token": "<unk>"
|
| 57 |
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}
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training_checkpoints/checkpoint-643/trainer_state.json
ADDED
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{
|
| 2 |
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"best_metric": 0.6063644681337579,
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| 3 |
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"best_model_checkpoint": "bart-base/checkpoint-643",
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| 4 |
+
"epoch": 1.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
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"global_step": 643,
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| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
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"is_local_process_zero": true,
|
| 9 |
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"is_world_process_zero": true,
|
| 10 |
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"log_history": [
|
| 11 |
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{
|
| 12 |
+
"epoch": 0.78,
|
| 13 |
+
"learning_rate": 4.871176775531364e-05,
|
| 14 |
+
"loss": 1.2028,
|
| 15 |
+
"step": 500
|
| 16 |
+
},
|
| 17 |
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{
|
| 18 |
+
"epoch": 1.0,
|
| 19 |
+
"eval_accuracy": 0.7598760650658405,
|
| 20 |
+
"eval_f1_macro": 0.6063644681337579,
|
| 21 |
+
"eval_f1_micro": 0.7598760650658405,
|
| 22 |
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"eval_f1_weighted": 0.7489266744747745,
|
| 23 |
+
"eval_loss": 0.8429557681083679,
|
| 24 |
+
"eval_macro_fpr": 0.023226157303183535,
|
| 25 |
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"eval_macro_sensitivity": 0.6366904609623596,
|
| 26 |
+
"eval_macro_specificity": 0.981694425945952,
|
| 27 |
+
"eval_precision": 0.7600880594489849,
|
| 28 |
+
"eval_precision_macro": 0.6003620126022547,
|
| 29 |
+
"eval_recall": 0.7598760650658405,
|
| 30 |
+
"eval_recall_macro": 0.6366904609623596,
|
| 31 |
+
"eval_runtime": 43.5934,
|
| 32 |
+
"eval_samples_per_second": 29.615,
|
| 33 |
+
"eval_steps_per_second": 3.716,
|
| 34 |
+
"eval_weighted_fpr": 0.02207348333808032,
|
| 35 |
+
"eval_weighted_sensitivity": 0.7598760650658405,
|
| 36 |
+
"eval_weighted_specificity": 0.9655403241234398,
|
| 37 |
+
"step": 643
|
| 38 |
+
}
|
| 39 |
+
],
|
| 40 |
+
"logging_steps": 500,
|
| 41 |
+
"max_steps": 19290,
|
| 42 |
+
"num_train_epochs": 30,
|
| 43 |
+
"save_steps": 500,
|
| 44 |
+
"total_flos": 1575916895250432.0,
|
| 45 |
+
"trial_name": null,
|
| 46 |
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"trial_params": null
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| 47 |
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}
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training_checkpoints/checkpoint-643/training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:cd0cdec3791602f3a208801abdf1b96f9559896ff555c412e7903eee9d6a2b88
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size 4600
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training_checkpoints/checkpoint-643/vocab.json
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