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-8359/config.json +61 -0
- training_checkpoints/checkpoint-8359/model.safetensors +3 -0
- training_checkpoints/checkpoint-8359/optimizer.pt +3 -0
- training_checkpoints/checkpoint-8359/rng_state.pth +3 -0
- training_checkpoints/checkpoint-8359/scheduler.pt +3 -0
- training_checkpoints/checkpoint-8359/trainer_state.json +419 -0
- training_checkpoints/checkpoint-8359/training_args.bin +3 -0
training_checkpoints/checkpoint-8359/config.json
ADDED
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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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| 7 |
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"classifier_dropout": null,
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| 8 |
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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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| 35 |
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"Argument by Petitioner": 5,
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| 36 |
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"Argument by Respondent": 7,
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| 37 |
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"Conclusion": 2,
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| 38 |
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"Court Discourse": 1,
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| 39 |
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"Fact": 6,
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| 40 |
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"Issue": 0,
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| 41 |
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"Judge": 13,
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| 42 |
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"Petitioner": 12,
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"Precedent Analysis": 3,
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"Ratio": 8,
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| 45 |
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"Respondent": 10,
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| 46 |
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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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| 50 |
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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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| 56 |
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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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| 58 |
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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-8359/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:f22f9e6470e0266015c1413a155a2798763564b6575d4a98f893b1cb858b4ea1
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size 433310756
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training_checkpoints/checkpoint-8359/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:e8afb93c9a199f043986d45d4dd98693312d1a0eb7774c00c766d72788f0bc57
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size 866742522
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training_checkpoints/checkpoint-8359/rng_state.pth
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:a5349429318360fc4c76080b429f51454962940c8a3b89b17fc10b60149448ec
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size 14244
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training_checkpoints/checkpoint-8359/scheduler.pt
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:edaa9ebc2d740541b035051b2e78ee69f2c075609d74967d71a8723f4790eac0
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size 1064
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training_checkpoints/checkpoint-8359/trainer_state.json
ADDED
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|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.7574114430615071,
|
| 3 |
+
"best_model_checkpoint": "bert-base-cased/checkpoint-8359",
|
| 4 |
+
"epoch": 13.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 8359,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.78,
|
| 13 |
+
"grad_norm": 7.705796718597412,
|
| 14 |
+
"learning_rate": 4.742353551062727e-05,
|
| 15 |
+
"loss": 1.2487,
|
| 16 |
+
"step": 500
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 1.0,
|
| 20 |
+
"eval_accuracy": 0.7474825716498839,
|
| 21 |
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"eval_f1_macro": 0.5695048097890428,
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| 22 |
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"eval_f1_micro": 0.7474825716498839,
|
| 23 |
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"eval_f1_weighted": 0.7283975034665731,
|
| 24 |
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"eval_loss": 0.8270060420036316,
|
| 25 |
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"eval_macro_fpr": 0.02522988638938423,
|
| 26 |
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"eval_macro_sensitivity": 0.5800853178643741,
|
| 27 |
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"eval_macro_specificity": 0.980226637617229,
|
| 28 |
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"eval_precision": 0.7315332878692975,
|
| 29 |
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"eval_precision_macro": 0.594776387201485,
|
| 30 |
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"eval_recall": 0.7474825716498839,
|
| 31 |
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"eval_recall_macro": 0.5800853178643741,
|
| 32 |
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"eval_runtime": 42.2559,
|
| 33 |
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"eval_samples_per_second": 30.552,
|
| 34 |
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"eval_steps_per_second": 3.834,
|
| 35 |
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"eval_weighted_fpr": 0.023561723041341427,
|
| 36 |
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"eval_weighted_sensitivity": 0.7474825716498839,
|
| 37 |
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"eval_weighted_specificity": 0.9559169926085502,
|
| 38 |
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"step": 643
|
| 39 |
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},
|
| 40 |
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{
|
| 41 |
+
"epoch": 1.56,
|
| 42 |
+
"grad_norm": 13.48304271697998,
|
| 43 |
+
"learning_rate": 4.48315189217211e-05,
|
| 44 |
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"loss": 0.7012,
|
| 45 |
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"step": 1000
|
| 46 |
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},
|
| 47 |
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{
|
| 48 |
+
"epoch": 2.0,
|
| 49 |
+
"eval_accuracy": 0.790859798605732,
|
| 50 |
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"eval_f1_macro": 0.6824316339324086,
|
| 51 |
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"eval_f1_micro": 0.790859798605732,
|
| 52 |
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"eval_f1_weighted": 0.7872863568939508,
|
| 53 |
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"eval_loss": 0.7202674746513367,
|
| 54 |
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"eval_macro_fpr": 0.01923285837775677,
|
| 55 |
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"eval_macro_sensitivity": 0.6952615189922304,
|
| 56 |
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"eval_macro_specificity": 0.9841762605666529,
|
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| 381 |
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|
| 382 |
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|
| 383 |
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| 384 |
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| 385 |
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| 386 |
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| 387 |
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{
|
| 388 |
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|
| 389 |
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| 390 |
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| 391 |
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| 392 |
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| 393 |
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| 394 |
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| 395 |
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|
| 396 |
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| 397 |
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| 398 |
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| 399 |
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| 400 |
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| 401 |
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|
| 402 |
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|
| 403 |
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| 404 |
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| 405 |
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| 406 |
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| 407 |
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|
| 408 |
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|
| 409 |
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|
| 410 |
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|
| 411 |
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|
| 412 |
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|
| 413 |
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|
| 414 |
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|
| 415 |
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|
| 416 |
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| 417 |
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| 418 |
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| 419 |
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|
training_checkpoints/checkpoint-8359/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:15be8b8527640eed95000ae3add7b2970781d1e199e7d110cd9f2593b62d1de0
|
| 3 |
+
size 4920
|