Added a model and config

config.json

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+{
+  "_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": "rte",
+  "gap_size": 0,
+  "hidden_act": "gelu_new",
+  "hidden_dropout_prob": 0,
+  "hidden_size": 1024,
+  "id2label": {
+    "0": "entailment",
+    "1": "not_entailment"
+  },
+  "initializer_range": 0.02,
+  "inner_group_num": 1,
+  "intermediate_size": 4096,
+  "label2id": {
+    "entailment": 0,
+    "not_entailment": 1
+  },
+  "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": 1.0776796340942383, "eval_accuracy": 0.8014440433212996, "eval_runtime": 1.9895, "eval_samples_per_second": 139.234, "eval_steps_per_second": 17.593}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:6a7920bf2beeb91f08c79d466e4977288401ddc36b8f55b996f4db4a1f0c3c6a
+size 70757765

train_results.json

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+{"eval_loss": 0.01725384220480919, "eval_accuracy": 0.9971887550200803, "eval_runtime": 17.8511, "eval_samples_per_second": 139.487, "eval_steps_per_second": 17.478}