Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use xshubhamx/bert-base-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xshubhamx/bert-base-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="xshubhamx/bert-base-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("xshubhamx/bert-base-cased") model = AutoModelForSequenceClassification.from_pretrained("xshubhamx/bert-base-cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files- training_checkpoints/checkpoint-3858/config.json +61 -0
- training_checkpoints/checkpoint-3858/model.safetensors +3 -0
- training_checkpoints/checkpoint-3858/optimizer.pt +3 -0
- training_checkpoints/checkpoint-3858/rng_state.pth +3 -0
- training_checkpoints/checkpoint-3858/scheduler.pt +3 -0
- training_checkpoints/checkpoint-3858/trainer_state.json +202 -0
- training_checkpoints/checkpoint-3858/training_args.bin +3 -0
training_checkpoints/checkpoint-3858/config.json
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{
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"_name_or_path": "bert-base-cased",
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"architectures": [
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"BertForSequenceClassification"
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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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"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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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"Appellant": 9,
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"Argument by Appellant": 11,
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"Argument by Defendant": 14,
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"Argument by Petitioner": 5,
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"Argument by Respondent": 7,
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"Conclusion": 2,
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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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"Respondent": 10,
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"Section Analysis": 4
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},
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| 48 |
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"layer_norm_eps": 1e-12,
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| 49 |
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"max_position_embeddings": 512,
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"model_type": "bert",
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| 51 |
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"num_attention_heads": 12,
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| 52 |
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"num_hidden_layers": 12,
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| 53 |
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"pad_token_id": 0,
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| 54 |
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"position_embedding_type": "absolute",
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| 55 |
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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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| 57 |
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"transformers_version": "4.38.2",
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"type_vocab_size": 2,
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| 59 |
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"use_cache": true,
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| 60 |
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"vocab_size": 28996
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}
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training_checkpoints/checkpoint-3858/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:55a52f2cb67938f44443053a6d408a0c707f78d5225cab87f7e34ab56ef11da1
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size 433310756
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training_checkpoints/checkpoint-3858/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:ed44a627c5be6d29414b9425834c72c91d023af635635f1bf0d868e97e65fcf3
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size 866742522
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training_checkpoints/checkpoint-3858/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:bd458f48e0ba77628cf05a2ccfc043cd57b607a7e04f3ef0f07cbb712ab785d4
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size 14244
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training_checkpoints/checkpoint-3858/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:1d825a89eae08c6038586b332bd62c603d9c7a0c592c8fe74dc36e3b47f43ff8
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size 1064
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training_checkpoints/checkpoint-3858/trainer_state.json
ADDED
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| 1 |
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{
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| 2 |
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"epoch": 6.0,
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"eval_steps": 500,
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"global_step": 3858,
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"is_hyper_param_search": false,
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"is_world_process_zero": true,
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training_checkpoints/checkpoint-3858/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
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|
|
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|
|
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|
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|
| 1 |
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:15be8b8527640eed95000ae3add7b2970781d1e199e7d110cd9f2593b62d1de0
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| 3 |
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size 4920
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