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-16718/config.json +100 -0
- training_checkpoints/checkpoint-16718/merges.txt +0 -0
- training_checkpoints/checkpoint-16718/model.safetensors +3 -0
- training_checkpoints/checkpoint-16718/optimizer.pt +3 -0
- training_checkpoints/checkpoint-16718/rng_state.pth +3 -0
- training_checkpoints/checkpoint-16718/scheduler.pt +3 -0
- training_checkpoints/checkpoint-16718/special_tokens_map.json +15 -0
- training_checkpoints/checkpoint-16718/tokenizer.json +0 -0
- training_checkpoints/checkpoint-16718/tokenizer_config.json +57 -0
- training_checkpoints/checkpoint-16718/trainer_state.json +789 -0
- training_checkpoints/checkpoint-16718/training_args.bin +3 -0
- training_checkpoints/checkpoint-16718/vocab.json +0 -0
training_checkpoints/checkpoint-16718/config.json
ADDED
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| 1 |
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{
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| 2 |
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"_name_or_path": "facebook/bart-base",
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| 3 |
+
"activation_dropout": 0.1,
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| 4 |
+
"activation_function": "gelu",
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| 5 |
+
"add_bias_logits": false,
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| 6 |
+
"add_final_layer_norm": false,
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| 7 |
+
"architectures": [
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| 8 |
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"BartForSequenceClassification"
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| 9 |
+
],
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| 10 |
+
"attention_dropout": 0.1,
|
| 11 |
+
"bos_token_id": 0,
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| 12 |
+
"classif_dropout": 0.1,
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| 13 |
+
"classifier_dropout": 0.0,
|
| 14 |
+
"d_model": 768,
|
| 15 |
+
"decoder_attention_heads": 12,
|
| 16 |
+
"decoder_ffn_dim": 3072,
|
| 17 |
+
"decoder_layerdrop": 0.0,
|
| 18 |
+
"decoder_layers": 6,
|
| 19 |
+
"decoder_start_token_id": 2,
|
| 20 |
+
"dropout": 0.1,
|
| 21 |
+
"early_stopping": true,
|
| 22 |
+
"encoder_attention_heads": 12,
|
| 23 |
+
"encoder_ffn_dim": 3072,
|
| 24 |
+
"encoder_layerdrop": 0.0,
|
| 25 |
+
"encoder_layers": 6,
|
| 26 |
+
"eos_token_id": 2,
|
| 27 |
+
"forced_bos_token_id": 0,
|
| 28 |
+
"forced_eos_token_id": 2,
|
| 29 |
+
"gradient_checkpointing": false,
|
| 30 |
+
"id2label": {
|
| 31 |
+
"0": "Issue",
|
| 32 |
+
"1": "Court Discourse",
|
| 33 |
+
"2": "Conclusion",
|
| 34 |
+
"3": "Precedent Analysis",
|
| 35 |
+
"4": "Section Analysis",
|
| 36 |
+
"5": "Argument by Petitioner",
|
| 37 |
+
"6": "Fact",
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| 38 |
+
"7": "Argument by Respondent",
|
| 39 |
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"8": "Ratio",
|
| 40 |
+
"9": "Appellant",
|
| 41 |
+
"10": "Respondent",
|
| 42 |
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"11": "Argument by Appellant",
|
| 43 |
+
"12": "Petitioner",
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| 44 |
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"13": "Judge",
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| 45 |
+
"14": "Argument by Defendant"
|
| 46 |
+
},
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| 47 |
+
"init_std": 0.02,
|
| 48 |
+
"is_encoder_decoder": true,
|
| 49 |
+
"label2id": {
|
| 50 |
+
"Appellant": 9,
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| 51 |
+
"Argument by Appellant": 11,
|
| 52 |
+
"Argument by Defendant": 14,
|
| 53 |
+
"Argument by Petitioner": 5,
|
| 54 |
+
"Argument by Respondent": 7,
|
| 55 |
+
"Conclusion": 2,
|
| 56 |
+
"Court Discourse": 1,
|
| 57 |
+
"Fact": 6,
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| 58 |
+
"Issue": 0,
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| 59 |
+
"Judge": 13,
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| 60 |
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"Petitioner": 12,
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| 61 |
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"Precedent Analysis": 3,
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| 62 |
+
"Ratio": 8,
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| 63 |
+
"Respondent": 10,
|
| 64 |
+
"Section Analysis": 4
|
| 65 |
+
},
|
| 66 |
+
"max_position_embeddings": 1024,
|
| 67 |
+
"model_type": "bart",
|
| 68 |
+
"no_repeat_ngram_size": 3,
|
| 69 |
+
"normalize_before": false,
|
| 70 |
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"normalize_embedding": true,
|
| 71 |
+
"num_beams": 4,
|
| 72 |
+
"num_hidden_layers": 6,
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| 73 |
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"pad_token_id": 1,
|
| 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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| 76 |
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"task_specific_params": {
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| 77 |
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"summarization": {
|
| 78 |
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"length_penalty": 1.0,
|
| 79 |
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"max_length": 128,
|
| 80 |
+
"min_length": 12,
|
| 81 |
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"num_beams": 4
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| 82 |
+
},
|
| 83 |
+
"summarization_cnn": {
|
| 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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| 88 |
+
},
|
| 89 |
+
"summarization_xsum": {
|
| 90 |
+
"length_penalty": 1.0,
|
| 91 |
+
"max_length": 62,
|
| 92 |
+
"min_length": 11,
|
| 93 |
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"num_beams": 6
|
| 94 |
+
}
|
| 95 |
+
},
|
| 96 |
+
"torch_dtype": "float32",
|
| 97 |
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"transformers_version": "4.35.2",
|
| 98 |
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"use_cache": true,
|
| 99 |
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"vocab_size": 50265
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| 100 |
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}
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training_checkpoints/checkpoint-16718/merges.txt
ADDED
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training_checkpoints/checkpoint-16718/model.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:514bbd2932e8d871f3079265599153b44658e39611a157f432ccc259a1ac2c8e
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size 560120380
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training_checkpoints/checkpoint-16718/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:5cf1a0b4e1024205f17f2d76f208a08b82d89d4e1e0b1d628d4d057975199885
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size 1120400122
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training_checkpoints/checkpoint-16718/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:9071308ad55c82c7e5e7e27757dfd81164b5960e53eee9c48967a728add9c03e
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size 14244
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training_checkpoints/checkpoint-16718/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:f78993c99fa7d858617e88660ec05b20a4216946378a2728bf8104ad2fe3ea44
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| 3 |
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size 1064
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training_checkpoints/checkpoint-16718/special_tokens_map.json
ADDED
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{
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| 2 |
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"bos_token": "<s>",
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| 3 |
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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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| 6 |
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"content": "<mask>",
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| 7 |
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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>",
|
| 14 |
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"unk_token": "<unk>"
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| 15 |
+
}
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training_checkpoints/checkpoint-16718/tokenizer.json
ADDED
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training_checkpoints/checkpoint-16718/tokenizer_config.json
ADDED
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@@ -0,0 +1,57 @@
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{
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| 2 |
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"add_prefix_space": false,
|
| 3 |
+
"added_tokens_decoder": {
|
| 4 |
+
"0": {
|
| 5 |
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"content": "<s>",
|
| 6 |
+
"lstrip": false,
|
| 7 |
+
"normalized": true,
|
| 8 |
+
"rstrip": false,
|
| 9 |
+
"single_word": false,
|
| 10 |
+
"special": true
|
| 11 |
+
},
|
| 12 |
+
"1": {
|
| 13 |
+
"content": "<pad>",
|
| 14 |
+
"lstrip": false,
|
| 15 |
+
"normalized": true,
|
| 16 |
+
"rstrip": false,
|
| 17 |
+
"single_word": false,
|
| 18 |
+
"special": true
|
| 19 |
+
},
|
| 20 |
+
"2": {
|
| 21 |
+
"content": "</s>",
|
| 22 |
+
"lstrip": false,
|
| 23 |
+
"normalized": true,
|
| 24 |
+
"rstrip": false,
|
| 25 |
+
"single_word": false,
|
| 26 |
+
"special": true
|
| 27 |
+
},
|
| 28 |
+
"3": {
|
| 29 |
+
"content": "<unk>",
|
| 30 |
+
"lstrip": false,
|
| 31 |
+
"normalized": true,
|
| 32 |
+
"rstrip": false,
|
| 33 |
+
"single_word": false,
|
| 34 |
+
"special": true
|
| 35 |
+
},
|
| 36 |
+
"50264": {
|
| 37 |
+
"content": "<mask>",
|
| 38 |
+
"lstrip": true,
|
| 39 |
+
"normalized": true,
|
| 40 |
+
"rstrip": false,
|
| 41 |
+
"single_word": false,
|
| 42 |
+
"special": true
|
| 43 |
+
}
|
| 44 |
+
},
|
| 45 |
+
"bos_token": "<s>",
|
| 46 |
+
"clean_up_tokenization_spaces": true,
|
| 47 |
+
"cls_token": "<s>",
|
| 48 |
+
"eos_token": "</s>",
|
| 49 |
+
"errors": "replace",
|
| 50 |
+
"mask_token": "<mask>",
|
| 51 |
+
"model_max_length": 1024,
|
| 52 |
+
"pad_token": "<pad>",
|
| 53 |
+
"sep_token": "</s>",
|
| 54 |
+
"tokenizer_class": "BartTokenizer",
|
| 55 |
+
"trim_offsets": true,
|
| 56 |
+
"unk_token": "<unk>"
|
| 57 |
+
}
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training_checkpoints/checkpoint-16718/trainer_state.json
ADDED
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| 761 |
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"eval_accuracy": 0.8187451587916343,
|
| 762 |
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"eval_f1_macro": 0.7601055992728972,
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| 763 |
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"eval_f1_micro": 0.8187451587916342,
|
| 764 |
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"eval_f1_weighted": 0.8199059390372757,
|
| 765 |
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"eval_loss": 1.880871057510376,
|
| 766 |
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"eval_macro_fpr": 0.01605804835750131,
|
| 767 |
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"eval_macro_sensitivity": 0.7748936539821518,
|
| 768 |
+
"eval_macro_specificity": 0.9864696047286632,
|
| 769 |
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"eval_precision": 0.824436161286693,
|
| 770 |
+
"eval_precision_macro": 0.7594879689938191,
|
| 771 |
+
"eval_recall": 0.8187451587916343,
|
| 772 |
+
"eval_recall_macro": 0.7748936539821518,
|
| 773 |
+
"eval_runtime": 88.2427,
|
| 774 |
+
"eval_samples_per_second": 14.63,
|
| 775 |
+
"eval_steps_per_second": 1.836,
|
| 776 |
+
"eval_weighted_fpr": 0.015566790846194785,
|
| 777 |
+
"eval_weighted_sensitivity": 0.8187451587916343,
|
| 778 |
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"eval_weighted_specificity": 0.9782989121383131,
|
| 779 |
+
"step": 16718
|
| 780 |
+
}
|
| 781 |
+
],
|
| 782 |
+
"logging_steps": 500,
|
| 783 |
+
"max_steps": 19290,
|
| 784 |
+
"num_train_epochs": 30,
|
| 785 |
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"save_steps": 500,
|
| 786 |
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"total_flos": 4.097383927651123e+16,
|
| 787 |
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"trial_name": null,
|
| 788 |
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"trial_params": null
|
| 789 |
+
}
|
training_checkpoints/checkpoint-16718/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:cd0cdec3791602f3a208801abdf1b96f9559896ff555c412e7903eee9d6a2b88
|
| 3 |
+
size 4600
|
training_checkpoints/checkpoint-16718/vocab.json
ADDED
|
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|
|
|