Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use xshubhamx/roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xshubhamx/roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="xshubhamx/roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("xshubhamx/roberta-base") model = AutoModelForSequenceClassification.from_pretrained("xshubhamx/roberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files- training_checkpoints/checkpoint-9002/config.json +62 -0
- training_checkpoints/checkpoint-9002/model.safetensors +3 -0
- training_checkpoints/checkpoint-9002/optimizer.pt +3 -0
- training_checkpoints/checkpoint-9002/rng_state.pth +3 -0
- training_checkpoints/checkpoint-9002/scheduler.pt +3 -0
- training_checkpoints/checkpoint-9002/trainer_state.json +455 -0
- training_checkpoints/checkpoint-9002/training_args.bin +3 -0
training_checkpoints/checkpoint-9002/config.json
ADDED
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{
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"_name_or_path": "roberta-base",
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"architectures": [
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"RobertaForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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| 7 |
+
"bos_token_id": 0,
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| 8 |
+
"classifier_dropout": null,
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| 9 |
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"eos_token_id": 2,
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| 10 |
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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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| 33 |
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"Appellant": 9,
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| 34 |
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"Argument by Appellant": 11,
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| 35 |
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"Argument by Defendant": 14,
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| 36 |
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"Argument by Petitioner": 5,
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| 37 |
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"Argument by Respondent": 7,
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| 38 |
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"Conclusion": 2,
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| 39 |
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"Court Discourse": 1,
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| 40 |
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"Fact": 6,
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| 41 |
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"Issue": 0,
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| 42 |
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"Judge": 13,
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| 43 |
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"Petitioner": 12,
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| 44 |
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"Precedent Analysis": 3,
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| 45 |
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"Ratio": 8,
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| 46 |
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"Respondent": 10,
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| 47 |
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"Section Analysis": 4
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},
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| 49 |
+
"layer_norm_eps": 1e-05,
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| 50 |
+
"max_position_embeddings": 514,
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| 51 |
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"model_type": "roberta",
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| 52 |
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"num_attention_heads": 12,
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| 53 |
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"num_hidden_layers": 12,
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| 54 |
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"pad_token_id": 1,
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| 55 |
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"position_embedding_type": "absolute",
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| 56 |
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"problem_type": "single_label_classification",
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| 57 |
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"torch_dtype": "float32",
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| 58 |
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"transformers_version": "4.38.2",
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| 59 |
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"type_vocab_size": 1,
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| 60 |
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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-9002/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:acec199143766381ec042756627dae57b9da2c6058c402fd546f906f378d20ac
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size 498652812
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training_checkpoints/checkpoint-9002/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:6515d45d405c4c8ab578459d85881e9f3c7d8faf456b4dc2ca2f841de252d2ed
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size 997425402
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training_checkpoints/checkpoint-9002/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:d151b334398b4f9c1223c0119151f11053e38d72f3d594a6923fefe7381b0ef6
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size 14244
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training_checkpoints/checkpoint-9002/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:19ee98d598424113be8afcd1541f43eff7d5ea46b98e52df48522705ec0ba3f4
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size 1064
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training_checkpoints/checkpoint-9002/trainer_state.json
ADDED
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|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.34083702910591834,
|
| 3 |
+
"best_model_checkpoint": "roberta-base/checkpoint-9002",
|
| 4 |
+
"epoch": 14.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 9002,
|
| 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": 6.534026145935059,
|
| 14 |
+
"learning_rate": 4.742871954380509e-05,
|
| 15 |
+
"loss": 2.2214,
|
| 16 |
+
"step": 500
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 1.0,
|
| 20 |
+
"eval_accuracy": 0.24554608830364058,
|
| 21 |
+
"eval_f1_macro": 0.02628524046434494,
|
| 22 |
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"eval_f1_micro": 0.24554608830364058,
|
| 23 |
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"eval_f1_weighted": 0.09681356964210704,
|
| 24 |
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"eval_loss": 2.1982107162475586,
|
| 25 |
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"eval_macro_fpr": 0.06666666666666667,
|
| 26 |
+
"eval_macro_sensitivity": 0.06666666666666667,
|
| 27 |
+
"eval_macro_specificity": 0.9333333333333333,
|
| 28 |
+
"eval_precision": 0.06029288148121926,
|
| 29 |
+
"eval_precision_macro": 0.016369739220242704,
|
| 30 |
+
"eval_recall": 0.24554608830364058,
|
| 31 |
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"eval_recall_macro": 0.06666666666666667,
|
| 32 |
+
"eval_runtime": 29.4439,
|
| 33 |
+
"eval_samples_per_second": 43.846,
|
| 34 |
+
"eval_steps_per_second": 5.502,
|
| 35 |
+
"eval_weighted_fpr": 0.17997043606799704,
|
| 36 |
+
"eval_weighted_sensitivity": 0.24554608830364058,
|
| 37 |
+
"eval_weighted_specificity": 0.7544539116963594,
|
| 38 |
+
"step": 643
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 1.56,
|
| 42 |
+
"grad_norm": 6.595059871673584,
|
| 43 |
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training_checkpoints/checkpoint-9002/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:6da235c4e1e89b590bb6c4dd543edc36c67b04a23baad1858c6c64a331ed4bd1
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size 4920
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