End of training

README.md

@@ -1,3 +1,4 @@
+<<<<<<< HEAD
 ---
 tags:
 - generated_from_trainer
@@ -53,3 +54,6 @@ The following hyperparameters were used during training:
 - Pytorch 1.12.1+cu113
 - Datasets 2.7.0
 - Tokenizers 0.13.2
+=======
+This is a demo model for our reference
+>>>>>>> 24191373ff05e3799b9c6f359e51b37b642f4865

test_trainer_1/config.json

@@ -0,0 +1,40 @@
+{
+  "_name_or_path": "SALT-NLP/FLANG-Roberta",
+  "architectures": [
+    "RobertaForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 130,
+  "model_type": "roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "tokenizer_class": "BertweetTokenizer",
+  "torch_dtype": "float32",
+  "transformers_version": "4.24.0",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 64001
+}

test_trainer_1/pytorch_model.bin

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test_trainer_1/training_args.bin

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