Add gliner_config.json

gliner_config.json

@@ -0,0 +1,134 @@
+{
+  "class_token_index": 250100,
+  "dropout": 0.3,
+  "embed_ent_token": true,
+  "encoder_config": {
+    "_name_or_path": "google/mt5-large",
+    "add_cross_attention": false,
+    "architectures": [
+      "MT5ForConditionalGeneration"
+    ],
+    "bad_words_ids": null,
+    "begin_suppress_tokens": null,
+    "bos_token_id": null,
+    "chunk_size_feed_forward": 0,
+    "classifier_dropout": 0.0,
+    "cross_attention_hidden_size": null,
+    "d_ff": 2816,
+    "d_kv": 64,
+    "d_model": 1024,
+    "decoder_start_token_id": 0,
+    "dense_act_fn": "gelu_new",
+    "diversity_penalty": 0.0,
+    "do_sample": false,
+    "dropout_rate": 0.1,
+    "early_stopping": false,
+    "encoder_no_repeat_ngram_size": 0,
+    "eos_token_id": 1,
+    "exponential_decay_length_penalty": null,
+    "feed_forward_proj": "gated-gelu",
+    "finetuning_task": null,
+    "forced_bos_token_id": null,
+    "forced_eos_token_id": null,
+    "id2label": {
+      "0": "LABEL_0",
+      "1": "LABEL_1"
+    },
+    "initializer_factor": 1.0,
+    "is_decoder": false,
+    "is_encoder_decoder": true,
+    "is_gated_act": true,
+    "label2id": {
+      "LABEL_0": 0,
+      "LABEL_1": 1
+    },
+    "layer_norm_epsilon": 1e-06,
+    "length_penalty": 1.0,
+    "max_length": 20,
+    "min_length": 0,
+    "model_type": "mt5",
+    "no_repeat_ngram_size": 0,
+    "num_beam_groups": 1,
+    "num_beams": 1,
+    "num_decoder_layers": 24,
+    "num_heads": 16,
+    "num_layers": 24,
+    "num_return_sequences": 1,
+    "output_attentions": false,
+    "output_hidden_states": false,
+    "output_past": true,
+    "output_scores": false,
+    "pad_token_id": 0,
+    "prefix": null,
+    "problem_type": null,
+    "pruned_heads": {},
+    "relative_attention_max_distance": 128,
+    "relative_attention_num_buckets": 32,
+    "remove_invalid_values": false,
+    "repetition_penalty": 1.0,
+    "return_dict": true,
+    "return_dict_in_generate": false,
+    "sep_token_id": null,
+    "suppress_tokens": null,
+    "task_specific_params": null,
+    "temperature": 1.0,
+    "tf_legacy_loss": false,
+    "tie_encoder_decoder": false,
+    "tie_word_embeddings": false,
+    "tokenizer_class": "T5Tokenizer",
+    "top_k": 50,
+    "top_p": 1.0,
+    "torch_dtype": null,
+    "torchscript": false,
+    "typical_p": 1.0,
+    "use_bfloat16": false,
+    "use_cache": true,
+    "vocab_size": 250102
+  },
+  "ent_token": "<<ENT>>",
+  "eval_every": 10000,
+  "fine_tune": true,
+  "freeze_token_rep": false,
+  "fuse_layers": false,
+  "has_rnn": true,
+  "hidden_size": 1024,
+  "label_smoothing": 0,
+  "labels_encoder": null,
+  "labels_encoder_config": null,
+  "log_dir": "models/",
+  "loss_alpha": 0.75,
+  "loss_gamma": 0,
+  "loss_reduction": "sum",
+  "lr_encoder": "1e-5",
+  "lr_others": "3e-5",
+  "max_grad_norm": 10.0,
+  "max_len": 1024,
+  "max_neg_type_ratio": 1,
+  "max_types": 30,
+  "max_width": 12,
+  "model_name": "google/mt5-large",
+  "model_type": "gliner",
+  "name": "span level gliner",
+  "num_post_fusion_layers": 1,
+  "num_steps": 80000,
+  "post_fusion_schema": "",
+  "prev_path": null,
+  "random_drop": true,
+  "root_dir": "gliner_logs",
+  "save_total_limit": 3,
+  "scheduler_type": "cosine",
+  "sep_token": "<<SEP>>",
+  "shuffle_types": true,
+  "size_sup": -1,
+  "span_mode": "markerV0",
+  "subtoken_pooling": "first",
+  "train_batch_size": 4,
+  "train_data": "data/multilingual_data.json",
+  "transformers_version": "4.43.4",
+  "val_data_dir": "none",
+  "vocab_size": 250102,
+  "warmup_ratio": 0.05,
+  "weight_decay_encoder": 0.1,
+  "weight_decay_other": 0.01,
+  "words_splitter_type": "stanza"
+}