Added a model and config

config.json

@@ -0,0 +1,43 @@
+{
+  "_name_or_path": "albert-large-v2",
+  "architectures": [
+    "AlbertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0,
+  "bos_token_id": 2,
+  "classifier_dropout_prob": 0.1,
+  "down_scale_factor": 1,
+  "embedding_size": 128,
+  "eos_token_id": 3,
+  "finetuning_task": "cola",
+  "gap_size": 0,
+  "hidden_act": "gelu_new",
+  "hidden_dropout_prob": 0,
+  "hidden_size": 1024,
+  "id2label": {
+    "0": "unacceptable",
+    "1": "acceptable"
+  },
+  "initializer_range": 0.02,
+  "inner_group_num": 1,
+  "intermediate_size": 4096,
+  "label2id": {
+    "acceptable": 1,
+    "unacceptable": 0
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "albert",
+  "net_structure_type": 0,
+  "num_attention_heads": 16,
+  "num_hidden_groups": 1,
+  "num_hidden_layers": 24,
+  "num_memory_blocks": 0,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.26.0",
+  "type_vocab_size": 2,
+  "vocab_size": 30000
+}

eval_results.json

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+{"eval_loss": 1.1466858386993408, "eval_matthews_correlation": 0.5723853959351589, "eval_runtime": 7.4513, "eval_samples_per_second": 139.976, "eval_steps_per_second": 17.581}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:7ad836fb187d15d34a2ca6dc83aa82a6154e8ab566c8a1dd21895b19e83f60b4
+size 70757765

train_results.json

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+{"eval_loss": 0.04157589375972748, "eval_matthews_correlation": 0.9786230864021822, "eval_runtime": 61.069, "eval_samples_per_second": 140.022, "eval_steps_per_second": 17.505}