Upload RobertaForSequenceClassification

config.json

@@ -0,0 +1,127 @@
+{
+  "_name_or_path": "roberta-base",
+  "accelerator": null,
+  "accumulate_grad_batches": null,
+  "add_context": false,
+  "amp_backend": null,
+  "amp_level": null,
+  "architectures": [
+    "RobertaForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "auto_lr_find": false,
+  "auto_scale_batch_size": false,
+  "auto_select_gpus": null,
+  "batch_size": 32,
+  "benchmark": null,
+  "binary_clf": false,
+  "bos_token_id": 0,
+  "check_val_every_n_epoch": 1,
+  "checkpoint": null,
+  "ckpt_metric": "val_macro_f1",
+  "classifier_dropout": null,
+  "context_dir": null,
+  "context_doc_id": null,
+  "context_window": 5,
+  "default_root_dir": null,
+  "detect_anomaly": false,
+  "devices": "2",
+  "doc_pos_embeds": false,
+  "enable_checkpointing": true,
+  "enable_model_summary": true,
+  "enable_progress_bar": true,
+  "eos_token_id": 2,
+  "fast_dev_run": false,
+  "gpus": null,
+  "gradient_clip_algorithm": null,
+  "gradient_clip_val": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3",
+    "4": "LABEL_4"
+  },
+  "inference_mode": true,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "ipus": null,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2,
+    "LABEL_3": 3,
+    "LABEL_4": 4
+  },
+  "layer_norm_eps": 1e-05,
+  "learning_rate": 1e-05,
+  "left_z_only": false,
+  "limit_predict_batches": null,
+  "limit_test_batches": null,
+  "limit_train_batches": null,
+  "limit_val_batches": null,
+  "log_class_acc": false,
+  "log_every_n_steps": 50,
+  "logger": true,
+  "lr_scheduler": false,
+  "max_epochs": 10,
+  "max_length": 128,
+  "max_position_embeddings": 514,
+  "max_samples": -1,
+  "max_steps": -1,
+  "max_time": null,
+  "min_epochs": null,
+  "min_steps": null,
+  "model_type": "roberta",
+  "move_metrics_to_cpu": false,
+  "multiple_trainloader_mode": "max_size_cycle",
+  "name": "classifier-merge",
+  "no_context_pos": false,
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "num_nodes": 1,
+  "num_processes": null,
+  "num_sanity_val_steps": 2,
+  "overfit_batches": 0.0,
+  "pad_token_id": 1,
+  "plugins": null,
+  "position_embedding_type": "absolute",
+  "precision": 32,
+  "profiler": null,
+  "project": "planning_experiments",
+  "reading_lvl": null,
+  "regression": false,
+  "reload_dataloaders_every_n_epochs": 0,
+  "replace_sampler_ddp": true,
+  "resume_from_checkpoint": null,
+  "save_dir": null,
+  "second_stage": false,
+  "simple_context_dir": null,
+  "simple_context_doc_id": null,
+  "src_lvl": null,
+  "strategy": null,
+  "sync_batchnorm": false,
+  "torch_dtype": "float32",
+  "tpu_cores": null,
+  "track_grad_norm": -1,
+  "train_check_interval": 0.2,
+  "train_file": "data/cochrane_sents_train.csv",
+  "train_split": 0.9,
+  "train_workers": 8,
+  "transformers_version": "4.29.1",
+  "type_vocab_size": 1,
+  "upsample_classes": false,
+  "use_cache": true,
+  "use_merge_labels": true,
+  "val_check_interval": null,
+  "val_file": "data/cochrane_sents_val.csv",
+  "val_split": 0.05,
+  "val_workers": 8,
+  "vocab_size": 50275,
+  "wandb_id": null,
+  "x_col": "complex",
+  "y_col": "label"
+}

pytorch_model.bin

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